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Axiom · Computational Mass Spectrometry Scientist

completed165 qualified1 runMay 7, 5:10 AMabout-axiom-axiom-is-building-the-translational-intelligence
ParsedAxiom · 6 topics · Senior · Hybrid
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    Qualified Candidates (165)

    AY

    Adamo Young

    high hireability

    Graduate Student@University of Toronto

    Previously: Applied Science Intern @ Amazon

    Toronto, CA

    70
    ML-Ready Feature Engineering92
    Scientific Python Stack85
    Mass Spec Data Processing72
    Metabolomics & Lipidomics72
    LC-MS/MS Workflows55
    Drug Toxicity / DMPK42
    Strengths
    Massformer: tandem MS prediction with graph transformers (NMI 2024, 55 citations)
    MassSpecGym: NeurIPS 2024 Spotlight — ML benchmark for MS-based molecule discovery
    Gaps
    Primarily MS prediction/identification focus — less hands-on LC-MS/MS pipeline work (MZmine/OpenMS/MS-DIAL)
    …click to see all
    AR

    ArthurDeclercq

    high hireability
    38
    Scientific Python Stack75
    ML-Ready Feature Engineering65
    Mass Spec Data Processing55
    LC-MS/MS Workflows30
    Metabolomics & Lipidomics5
    Drug Toxicity / DMPK0
    Strengths
    ms2rescore: AI-assisted PSM rescoring, ~5x speedup (Jan 2026 PR)
    ms2pip: deep learning MS2 spectrum prediction, core developer
    Gaps
    Zero metabolomics or lipidomics experience — entirely proteomics/immunopeptidomics
    …click to see all
    BW

    Bishoy Wadie

    high hireability
    35
    Metabolomics & Lipidomics72
    Mass Spec Data Processing55
    ML-Ready Feature Engineering40
    Scientific Python Stack25
    LC-MS/MS Workflows12
    Drug Toxicity / DMPK5
    Strengths
    METASPACE-ML: ML metabolite annotation from MS imaging data (2024)
    S2IsoMEr: metabolite/lipid enrichment tool, LION lipid ontology integration
    Gaps
    Primary modality is MALDI-MSI, not LC-MS/MS — no MZmine/OpenMS/XCMS pipeline experience
    …click to see all
    FE

    Fabian Egli

    high hireability
    30
    Mass Spec Data Processing60
    Scientific Python Stack50
    LC-MS/MS Workflows40
    ML-Ready Feature Engineering15
    Metabolomics & Lipidomics8
    Drug Toxicity / DMPK5
    Strengths
    ProPIT: Python pipeline glue for Comet→Percolator→FlashLFQ (1143 commits)
    philosopher toolkit contributor — shotgun proteomics full-stack
    Gaps
    No metabolomics/lipidomics workflows — MZmine, MS-DIAL, GNPS, XCMS absent
    …click to see all
    HY

    hsiao yi

    high hireability
    29
    Mass Spec Data Processing72
    LC-MS/MS Workflows52
    Scientific Python Stack28
    ML-Ready Feature Engineering15
    Metabolomics & Lipidomics5
    Drug Toxicity / DMPK3
    Strengths
    FragPipe-Analyst core contributor — DIA/TMT/LFQ protein quantification
    diaTracer contributor: diaPASEF spectrum-centric DIA-MS pipeline
    Gaps
    Proteomics-only: no metabolomics or lipidomics work found
    …click to see all
    JS

    Justin Sing

    high hireability
    62
    LC-MS/MS Workflows90
    Mass Spec Data Processing85
    Scientific Python Stack80
    ML-Ready Feature Engineering75
    Metabolomics & Lipidomics35
    Drug Toxicity / DMPK5
    Strengths
    114 commits to OpenMS — active core contributor to major MS platform
    ARYCAL: DIA-MS chromatogram alignment tool in Rust
    Gaps
    Primarily DIA proteomics — limited untargeted metabolomics/lipidomics pipeline work
    …click to see all
    MP

    Matteo Pilz

    high hireability
    53
    LC-MS/MS Workflows82
    Mass Spec Data Processing80
    Scientific Python Stack70
    ML-Ready Feature Engineering55
    Metabolomics & Lipidomics28
    Drug Toxicity / DMPK5
    Strengths
    101 commits to OpenMS/OpenMS — core LC-MS/MS pipeline contributor
    OpenMS 3 co-author (Nature Methods 2024) — flagship MS analysis platform
    Gaps
    Proteomics/immunopeptidomics focus — limited metabolomics or lipidomics evidence
    …click to see all
    MS

    Michael A. Stravs

    high hireability

    Mass Spectrometry Data Scientist@Eawag

    Previously: Researcher @ Eawag

    69
    LC-MS/MS Workflows92
    Mass Spec Data Processing90
    Metabolomics & Lipidomics80
    ML-Ready Feature Engineering70
    Scientific Python Stack60
    Drug Toxicity / DMPK20
    Strengths
    MSNovelist: deep learning de novo structure generation from MS/MS (186 citations)
    Builds LC-HRMS/MS annotation and screening pipelines as primary research identity
    Gaps
    Environmental/aquatic focus — no direct pharma DMPK or drug toxicology experience
    …click to see all
    NJ

    Niek F. de Jonge

    high hireability

    Postdoc@Wageningen University & Research

    Previously: Research Software Engineer Intern @ Netherlands eScience Center

    Wageningen, NL

    71
    Mass Spec Data Processing88
    ML-Ready Feature Engineering85
    Scientific Python Stack82
    Metabolomics & Lipidomics82
    LC-MS/MS Workflows72
    Drug Toxicity / DMPK18
    Strengths
    matchms: 836 commits, #2 contributor — core tandem MS processing library
    ms2deepscore: Siamese neural net converting MS/MS spectra to structural similarity scores
    Gaps
    No drug toxicity or DMPK context — metabolomics-focused, not pharma/tox
    …click to see all
    PV

    Pablo Vangeenderhuysen

    high hireability
    52
    Metabolomics & Lipidomics90
    Mass Spec Data Processing82
    LC-MS/MS Workflows80
    Scientific Python Stack32
    ML-Ready Feature Engineering18
    Drug Toxicity / DMPK8
    Strengths
    TARDIS paper (Anal. Chem. 2025) — first-author, automated LC-MS peak integration + QA
    TARDIS R package author — handles targeted metabolomics + lipidomics workflows
    Gaps
    R-first developer — limited Python/Pandas/scikit-learn evidence
    …click to see all
    RG

    Ralf Gabriels

    high hireability
    44
    Scientific Python Stack85
    ML-Ready Feature Engineering75
    Mass Spec Data Processing65
    LC-MS/MS Workflows30
    Metabolomics & Lipidomics5
    Drug Toxicity / DMPK2
    Strengths
    ms2rescore: 473 commits, ML PSM rescoring — end-to-end MS pipeline ownership
    ms2pip: XGBoost/neural fragmentation intensity prediction from MS2 spectra
    Gaps
    Zero metabolomics or lipidomics work — 30+ papers are proteomics-only
    …click to see all
    RD

    Robbe Devreese

    high hireability
    40
    Scientific Python Stack68
    ML-Ready Feature Engineering65
    Mass Spec Data Processing55
    LC-MS/MS Workflows45
    Metabolomics & Lipidomics5
    Drug Toxicity / DMPK0
    Strengths
    27 commits to ms2rescore — ML-based PSM rescoring from MS2 features
    ProteoBench contributor: DIA-NN 2.5, MaxQuant, diaPASEF workflows benchmarked
    Gaps
    No metabolomics or lipidomics work — entirely proteomics domain
    …click to see all
    RW

    Runzhong Wang

    high hireability

    Postdoctoral Associate@Massachusetts Institute of Technology

    Previously: PhD student @ Shanghai Jiao Tong University

    Boston, US

    40
    ML-Ready Feature Engineering78
    Scientific Python Stack75
    Mass Spec Data Processing38
    LC-MS/MS Workflows20
    Metabolomics & Lipidomics18
    Drug Toxicity / DMPK12
    Strengths
    DiffMS: state-of-the-art molecule generation from tandem mass spectra (2025)
    24 commits to coleygroup/ms-pred — tandem MS prediction codebase
    Gaps
    No evidence of LC-MS/MS pipeline tooling (MZmine, OpenMS, MS-DIAL, XCMS)
    …click to see all
    WK

    William Kumler

    high hireability
    63
    Mass Spec Data Processing90
    LC-MS/MS Workflows88
    Metabolomics & Lipidomics82
    Scientific Python Stack62
    ML-Ready Feature Engineering50
    Drug Toxicity / DMPK5
    Strengths
    squallms (Bioconductor): peer-reviewed QC for untargeted LC-MS peaks (BMC Bioinformatics 2023)
    52 xcms commits — core contributor to canonical LC-MS/MS R package
    Gaps
    No pharma/DMPK background — all MS work is in marine/environmental metabolomics
    …click to see all
    AR

    Adriano Rutz

    medium hireability
    52
    Mass Spec Data Processing75
    LC-MS/MS Workflows72
    Metabolomics & Lipidomics68
    Scientific Python Stack62
    ML-Ready Feature Engineering28
    Drug Toxicity / DMPK8
    Strengths
    GNPS_Workflows contributor; TIMA annotation pipeline (R/Python)
    Nat Prod Rep 2025: LC-MS/MS metabolomics scalability at library scale
    Gaps
    No drug toxicity or DMPK experience — focus is natural products, not pharma/tox
    …click to see all
    AB

    Alejandro Villar Briones

    medium hireability
    50
    LC-MS/MS Workflows88
    Mass Spec Data Processing85
    Metabolomics & Lipidomics70
    Scientific Python Stack35
    ML-Ready Feature Engineering12
    Drug Toxicity / DMPK8
    Strengths
    MZmine 2 co-developer — 288 commits building peak detection, alignment, annotation modules
    OIST Instrumental Analysis Section — professional LC-MS/MS facility scientist
    Gaps
    No drug toxicity, DMPK, or reactive metabolite work — pharma context absent
    …click to see all
    AS

    Aleksandr Smirnov

    medium hireability
    63
    Mass Spec Data Processing95
    LC-MS/MS Workflows88
    Metabolomics & Lipidomics78
    Scientific Python Stack62
    ML-Ready Feature Engineering45
    Drug Toxicity / DMPK8
    Strengths
    222 commits to mzmine/mzmine3 — core module developer
    Nature Protocols 2024: reproducible MZmine3 processing & annotation
    Gaps
    No pharma or drug toxicity application experience — tool developer, not drug hunter
    …click to see all
    AV

    Andrea Vicini

    medium hireability
    35
    Mass Spec Data Processing62
    LC-MS/MS Workflows55
    Metabolomics & Lipidomics55
    ML-Ready Feature Engineering18
    Scientific Python Stack12
    Drug Toxicity / DMPK5
    Strengths
    60 commits to MetaboAnnotation — m/z/RT matching, adduct handling, scoring API
    Processed 11 standard mix LC-MS datasets (serum + water) at Eurac Research
    Gaps
    R-only stack — no Python, Pandas, NumPy, scikit-learn work visible
    …click to see all
    AP

    Andrew Palmer

    medium hireability
    67
    Mass Spec Data Processing82
    Scientific Python Stack78
    Metabolomics & Lipidomics72
    LC-MS/MS Workflows65
    ML-Ready Feature Engineering58
    Drug Toxicity / DMPK45
    Strengths
    EMBL Metabolomics Core Facility — built public LC-Orbitrap MS/MS spectral library
    89 commits to METASPACE2020/metaspace — spatial metabolomics platform
    Gaps
    Recent GSK focus is MALDI/imaging MS, not LC-MS/MS metabolomics pipelines
    …click to see all
    AP

    Andrew Patt

    medium hireability
    53
    Metabolomics & Lipidomics90
    Mass Spec Data Processing70
    LC-MS/MS Workflows55
    ML-Ready Feature Engineering40
    Drug Toxicity / DMPK35
    Scientific Python Stack28
    Strengths
    RaMP-DB developer (114 commits) — metabolomics pathway enrichment infrastructure
    MetLinkR active developer — metabolite ID linking across HMDB, KEGG, LIPID MAPS
    Gaps
    Primary tool stack is R, not Python — limited Scientific Python Stack evidence
    …click to see all
    AL

    Andy Lin

    medium hireability
    50
    Mass Spec Data Processing80
    LC-MS/MS Workflows72
    Scientific Python Stack70
    Metabolomics & Lipidomics45
    ML-Ready Feature Engineering30
    Drug Toxicity / DMPK5
    Strengths
    crema: Python FDR estimation tool for proteomics PSMs (Proteomics 2024)
    MS1Connect: LC-MS/MS run similarity via MS1 features (Bioinformatics 2023)
    Gaps
    Proteomics-first; limited published metabolomics/lipidomics work
    …click to see all
    AB

    Anton Bushuiev

    medium hireability

    Consultant@DIANA Biotechnologies

    Previously: Visiting Researcher @ Seoul National University

    Prague, CZ

    42
    ML-Ready Feature Engineering82
    Scientific Python Stack72
    Mass Spec Data Processing55
    Metabolomics & Lipidomics20
    LC-MS/MS Workflows18
    Drug Toxicity / DMPK5
    Strengths
    DreaMS (Nature Biotech 2025): deep learning on millions of tandem MS spectra
    MassSpecGym NeurIPS 2024 Spotlight: ML benchmark for MS molecule identification
    Gaps
    No evidence of MZmine, OpenMS, MS-DIAL, XCMS, GNPS, or Skyline pipeline work
    …click to see all
    AT

    Anupriya Tripathi

    medium hireability
    69
    LC-MS/MS Workflows92
    Mass Spec Data Processing86
    Metabolomics & Lipidomics82
    Scientific Python Stack80
    ML-Ready Feature Engineering52
    Drug Toxicity / DMPK20
    Strengths
    q2-qemistree: LC-MS/MS fragmentation tree pipeline (MZmine2+SIRIUS), Nature Chem Biol
    17 commits CCMS-UCSD/GNPS_Workflows — GNPS platform contributor
    Gaps
    Drug toxicity/DMPK not primary focus — metabolomics work is microbiome/diet, not pharma tox
    …click to see all
    AW

    Axel Walter

    medium hireability
    64
    LC-MS/MS Workflows92
    Mass Spec Data Processing85
    Scientific Python Stack80
    Metabolomics & Lipidomics80
    ML-Ready Feature Engineering40
    Drug Toxicity / DMPK8
    Strengths
    UmetaFlow: full untargeted LC-MS/MS pipeline, published JCIM 2023
    287 commits to OpenMS/OpenMS — deep core contributor
    Gaps
    No drug toxicity, reactive metabolites, or pharma/DMPK context
    …click to see all
    BB

    Bénilde Bonnefille

    medium hireability
    36
    Mass Spec Data Processing65
    LC-MS/MS Workflows55
    Metabolomics & Lipidomics50
    Drug Toxicity / DMPK20
    Scientific Python Stack20
    ML-Ready Feature Engineering8
    Strengths
    UHPLC-HRMS + GC-HRMS non-target screening — deep analytical MS expertise
    2020 metabolomics paper: metabolic pathway disruption from pollutant exposure
    Gaps
    Environmental focus — no pharma, drug metabolism, or DMPK context
    …click to see all
    CC

    Cheng Chang

    medium hireability

    Senior Software Engineer@Uniphore

    Previously: Software Engineer @ Orby AI

    San Francisco, US

    48
    Mass Spec Data Processing78
    Scientific Python Stack65
    ML-Ready Feature Engineering65
    LC-MS/MS Workflows55
    Drug Toxicity / DMPK15
    Metabolomics & Lipidomics8
    Strengths
    SILVER: stable isotope LC-MS quantification + QC tool (2014, 30 citations)
    PANDA/PANDA-view: quantitative proteomics analysis pipeline (2018-19, 75 citations combined)
    Gaps
    No metabolomics or lipidomics work — Axiom primary MS modality
    …click to see all
    CA

    Chrissy Aceves

    medium hireability
    55
    Mass Spec Data Processing75
    Metabolomics & Lipidomics72
    LC-MS/MS Workflows68
    Scientific Python Stack65
    ML-Ready Feature Engineering42
    Drug Toxicity / DMPK5
    Strengths
    Nat Methods 2020 ReDU: mass spec metadata/reanalysis infrastructure
    Nat Biotechnol 2022: untargeted metabolomics MS/MS annotation at scale
    Gaps
    PhD research pivoted to viral genomics + AI/LLM — not currently active in mass spec
    …click to see all
    CB

    Corinna Brungs

    medium hireability

    Senior Scientist@University of Vienna

    Previously: Postdoc @ Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences

    Vienna, AT

    72
    Mass Spec Data Processing90
    LC-MS/MS Workflows88
    Metabolomics & Lipidomics75
    ML-Ready Feature Engineering70
    Scientific Python Stack62
    Drug Toxicity / DMPK45
    Strengths
    MZmine 3 core developer — flagship paper 835 citations
    Non-targeted LC-MS/MS metabolomics pipelines and GNPS molecular networking
    Gaps
    No direct pharma DMPK or reactive metabolite profiling experience
    …click to see all
    DG

    Daniel Geiszler

    medium hireability
    38
    Scientific Python Stack60
    Mass Spec Data Processing60
    ML-Ready Feature Engineering45
    LC-MS/MS Workflows35
    Drug Toxicity / DMPK20
    Metabolomics & Lipidomics5
    Strengths
    PTM-Shepherd author — open-search post-processing tool, MCP 2021
    67 commits to Nesvilab/FragPipe — production-grade DIA proteomics pipeline
    Gaps
    No metabolomics or lipidomics experience — missing the primary modality Axiom needs
    …click to see all
    DP

    Daniel Polasky

    medium hireability
    41
    Mass Spec Data Processing78
    Scientific Python Stack70
    LC-MS/MS Workflows55
    ML-Ready Feature Engineering25
    Metabolomics & Lipidomics10
    Drug Toxicity / DMPK5
    Strengths
    483 commits to Nesvilab/FragPipe — major proteomics pipeline contributor
    CIUSuite 2 author (Analytical Chemistry 2019) — Python MS analysis tool
    Gaps
    No metabolomics/lipidomics experience — core Axiom need
    …click to see all
    DT

    David Teschner

    medium hireability
    50
    Scientific Python Stack80
    Mass Spec Data Processing80
    ML-Ready Feature Engineering65
    LC-MS/MS Workflows55
    Metabolomics & Lipidomics15
    Drug Toxicity / DMPK5
    Strengths
    rustims: 3K+ commits, timsTOF DDA/DIA-PASEF raw data processing (2025 pub)
    sagepy: Python/Rust SAGE search engine — production proteomics pipeline tool
    Gaps
    Proteomics/IMS focus — no evidence of metabolomics or lipidomics workflows
    …click to see all
    DK

    Devon Kohler

    medium hireability
    37
    Mass Spec Data Processing60
    ML-Ready Feature Engineering50
    Scientific Python Stack40
    LC-MS/MS Workflows30
    Drug Toxicity / DMPK20
    Metabolomics & Lipidomics20
    Strengths
    MSstats lead developer — normalization, QC, differential abundance for proteomics
    Nature Protocols DIA workflow paper (2024) with pharma partners
    Gaps
    No metabolomics/lipidomics pipeline work (primary JD focus)
    …click to see all
    DA

    Dmitry Avtonomov

    medium hireability
    57
    Mass Spec Data Processing92
    LC-MS/MS Workflows85
    Metabolomics & Lipidomics58
    Scientific Python Stack50
    ML-Ready Feature Engineering35
    Drug Toxicity / DMPK22
    Strengths
    1440 commits on Nesvilab/FragPipe — major LC-MS/MS proteomics platform
    BatMass: LC-MS data visualization covering proteomics and metabolomics
    Gaps
    Primary languages Java/C++; Python is secondary skill
    …click to see all
    EG

    Esteban Charria Girón

    medium hireability
    54
    Metabolomics & Lipidomics75
    Scientific Python Stack72
    Mass Spec Data Processing72
    LC-MS/MS Workflows55
    ML-Ready Feature Engineering42
    Drug Toxicity / DMPK10
    Strengths
    SpecReBoot: Python spectral bootstrapping tool (matchms, MS2DeepScore, Spec2Vec)
    MS2LDA contributor — unsupervised substructure discovery from MS2 data
    Gaps
    No pharma/biotech or toxicology context — all work in fungal natural products
    …click to see all
    EN

    Eugen Netz

    medium hireability
    42
    Mass Spec Data Processing82
    LC-MS/MS Workflows72
    Scientific Python Stack55
    Metabolomics & Lipidomics28
    ML-Ready Feature Engineering12
    Drug Toxicity / DMPK5
    Strengths
    945 commits to OpenMS — core developer of an explicitly required tool
    OpenMS 3, Nat Methods 2024 — reproducible large-scale LC-MS/MS analysis
    Gaps
    Proteomics/XL-MS primary focus — limited metabolomics or lipidomics work evident
    …click to see all
    FA

    Fabian Aicheler

    medium hireability
    56
    LC-MS/MS Workflows90
    Mass Spec Data Processing85
    Metabolomics & Lipidomics85
    Scientific Python Stack40
    ML-Ready Feature Engineering30
    Drug Toxicity / DMPK5
    Strengths
    113 commits to OpenMS — core LC-MS/MS framework developer
    Nature Methods 2016 OpenMS paper — recognized co-author of landmark tool
    Gaps
    No pharma/drug toxicity or DMPK work in any visible output
    …click to see all
    FW

    Fei Wang

    medium hireability

    PhD student@University of Alberta

    Previously: Software Engineer @ EA and Bioware

    CA

    77
    Mass Spec Data Processing85
    Metabolomics & Lipidomics85
    ML-Ready Feature Engineering85
    LC-MS/MS Workflows70
    Scientific Python Stack70
    Drug Toxicity / DMPK65
    Strengths
    CFM-ID 4.0: ESI-MS/MS spectral prediction tool (379 citations, Anal. Chem. 2021)
    MassSpecGym NeurIPS 2024 Spotlight — ML benchmark for mass spec molecule ID
    Gaps
    GitHub repos show no visible production LC-MS pipeline code (OpenMS/MZmine/XCMS)
    …click to see all
    FY

    Fengchao Yu

    medium hireability
    48
    Mass Spec Data Processing92
    LC-MS/MS Workflows75
    Scientific Python Stack55
    ML-Ready Feature Engineering50
    Metabolomics & Lipidomics10
    Drug Toxicity / DMPK8
    Strengths
    2970 commits on Nesvilab/FragPipe — core developer of proteomics LC-MS/MS suite
    MSFragger/IonQuant/diaTracer: peak ID, quantification, normalization at scale
    Gaps
    No metabolomics or lipidomics work — entirely proteomics background
    …click to see all
    FK

    Fleming Kretschmer

    medium hireability

    PhD student@Friedrich Schiller University Jena

    DE

    69
    LC-MS/MS Workflows88
    Mass Spec Data Processing88
    Metabolomics & Lipidomics85
    ML-Ready Feature Engineering72
    Scientific Python Stack68
    Drug Toxicity / DMPK12
    Strengths
    "LC-MS metabolomics/lipidomics" review (2022, 132 cit) — core expertise
    SIRIUS contributor — Böcker lab's MS/MS annotation tool
    Gaps
    No drug toxicity / DMPK / reactive metabolite work found
    …click to see all
    FA

    Frank Acquaye

    medium hireability
    41
    Scientific Python Stack68
    LC-MS/MS Workflows60
    Mass Spec Data Processing55
    Metabolomics & Lipidomics28
    ML-Ready Feature Engineering25
    Drug Toxicity / DMPK10
    Strengths
    CruxLFQ: full LFQ implementation merged into crux-toolkit (109K+ lines)
    matchms contributor — tandem MS spectral processing in Python
    Gaps
    Proteomics-focused; no clear metabolomics/lipidomics pipeline work (MZmine, MS-DIAL, XCMS, GNPS)
    …click to see all
    GR

    George Rosenberger

    medium hireability
    66
    Mass Spec Data Processing92
    LC-MS/MS Workflows85
    Scientific Python Stack85
    ML-Ready Feature Engineering75
    Drug Toxicity / DMPK38
    Metabolomics & Lipidomics18
    Strengths
    PyProphet: semi-supervised scoring for DIA-MS — widely used foundational tool
    198 commits to OpenMS — core contributor to major MS analysis platform
    Gaps
    Proteomics-specialist: little public evidence of metabolomics/lipidomics workflows
    …click to see all
    GU

    GuangyanZhou

    medium hireability
    51
    Metabolomics & Lipidomics82
    LC-MS/MS Workflows75
    Mass Spec Data Processing72
    ML-Ready Feature Engineering42
    Scientific Python Stack25
    Drug Toxicity / DMPK10
    Strengths
    Nature Protocols 2022: LC-HRMS spectra processing workflows — direct role match
    MetaboAnalyst 6.0 co-author (NAR 2024) — production-scale metabolomics platform
    Gaps
    Primarily R-based toolchain; limited Python (Pandas/NumPy/scikit-learn) evidence
    …click to see all
    GT

    Guo Ci Teo

    medium hireability
    55
    Mass Spec Data Processing90
    LC-MS/MS Workflows85
    Scientific Python Stack80
    ML-Ready Feature Engineering45
    Metabolomics & Lipidomics20
    Drug Toxicity / DMPK10
    Strengths
    445 commits on FragPipe — core proteomics LC-MS/MS pipeline developer
    MSFragger and DIA-Umpire contributor — peak detection, peptide ID, DIA workflows
    Gaps
    Proteomics-only background — no evidence of metabolomics or lipidomics workflows
    …click to see all
    HH

    Helge Hecht

    medium hireability
    59
    Mass Spec Data Processing85
    Scientific Python Stack80
    Metabolomics & Lipidomics60
    ML-Ready Feature Engineering55
    LC-MS/MS Workflows50
    Drug Toxicity / DMPK25
    Strengths
    326 commits to matchms — major contributor to Python MS/MS library
    PhD thesis (Mar 2025) on advanced GC-HRMS computational processing
    Gaps
    Core expertise is GC-MS/EI-MS, not LC-MS/MS metabolomics/lipidomics
    …click to see all
    HW

    Hendrik Weisser

    medium hireability
    54
    LC-MS/MS Workflows92
    Mass Spec Data Processing90
    Scientific Python Stack50
    Metabolomics & Lipidomics38
    ML-Ready Feature Engineering35
    Drug Toxicity / DMPK20
    Strengths
    1153 commits to OpenMS/OpenMS — top-5 contributor to leading LC-MS/MS platform
    Proteomics_QC: full Nextflow + OpenMS pipeline (mzML/mzTab, SST/HeLa QC, batch-ready)
    Gaps
    Primarily proteomics-focused; no direct evidence of metabolomics or lipidomics pipelines
    …click to see all
    HR

    Henning Redestig

    medium hireability

    Senior Lead Scientist@IFF

    Previously: Lead Data Scientist @ IFF

    Leiden, NL

    42
    Metabolomics & Lipidomics65
    Scientific Python Stack60
    Mass Spec Data Processing60
    LC-MS/MS Workflows35
    ML-Ready Feature Engineering25
    Drug Toxicity / DMPK5
    Strengths
    TargetSearch: GC-MS preprocessing pipeline (254 citations, Bioconductor)
    MS normalization method — systematic cross-contribution correction paper (214 citations)
    Gaps
    Career pivoted to protein engineering at IFF — no recent MS work (2019–present)
    …click to see all
    IP

    Ivan Protsyuk

    medium hireability
    71
    LC-MS/MS Workflows90
    Mass Spec Data Processing85
    Metabolomics & Lipidomics80
    Scientific Python Stack75
    ML-Ready Feature Engineering60
    Drug Toxicity / DMPK35
    Strengths
    Built Optimus (OpenMS LC-MS workflow) — Python, untargeted metabolomics
    First author Nature Protocols LC-MS cartography paper (2018)
    Gaps
    No MS publications since 2019 — pivoted away from hands-on mass spec
    …click to see all
    JS

    Jan Stanstrup

    medium hireability
    58
    LC-MS/MS Workflows92
    Mass Spec Data Processing90
    Metabolomics & Lipidomics85
    Scientific Python Stack40
    ML-Ready Feature Engineering30
    Drug Toxicity / DMPK10
    Strengths
    QC4Metabolomics: real-time QC system for mass spec (Anal. Chem. 2025)
    XCMS ecosystem co-author — peak detection, alignment, normalization
    Gaps
    Primary stack is R, not Python — Axiom wants Python/Pandas/NumPy
    …click to see all
    JC

    Jasmine Chong

    medium hireability
    47
    Metabolomics & Lipidomics82
    Mass Spec Data Processing70
    LC-MS/MS Workflows65
    ML-Ready Feature Engineering30
    Drug Toxicity / DMPK20
    Scientific Python Stack15
    Strengths
    289 commits to xia-lab/MetaboAnalystR — core platform developer
    MetaboAnalystR covers full LC-MS/MS processing stack (peaks, norm, batch correction)
    Gaps
    R-only developer — no Python (Pandas/NumPy/SciPy) evidence
    …click to see all
    JK

    Jihyung Kim

    medium hireability
    34
    Mass Spec Data Processing75
    Scientific Python Stack58
    LC-MS/MS Workflows40
    ML-Ready Feature Engineering20
    Metabolomics & Lipidomics8
    Drug Toxicity / DMPK5
    Strengths
    288 commits to OpenMS/OpenMS — deep core contributor
    FLASHDeconv author (Cell Syst 2020) — production deconvolution algorithm
    Gaps
    Top-down proteomics specialist — no metabolomics or lipidomics work found
    …click to see all
    JW

    Joe Wandy

    medium hireability
    81
    LC-MS/MS Workflows93
    Metabolomics & Lipidomics92
    Mass Spec Data Processing90
    Scientific Python Stack88
    ML-Ready Feature Engineering65
    Drug Toxicity / DMPK55
    Strengths
    ViMMS: Python LC/MS simulator with 1,296 commits — deep LC-MS/MS pipeline expertise
    Principal Bioinformatician at Metabolon — production-scale untargeted metabolomics daily
    Gaps
    No explicit drug toxicity or DMPK focus — Metabolon is broad metabolomics CRO, not tox-specific
    …click to see all
    JR

    Johannes Rainer

    medium hireability
    60
    LC-MS/MS Workflows98
    Mass Spec Data Processing95
    Metabolomics & Lipidomics92
    ML-Ready Feature Engineering50
    Scientific Python Stack15
    Drug Toxicity / DMPK12
    Strengths
    Lead maintainer of xcms — gold-standard LC-MS/MS preprocessing tool in Bioconductor
    Owns RforMassSpectrometry org: Spectra, MSnbase, RmzTabM, MsBackendMzPeak
    Gaps
    All public work in R, not Python — no evidence of Pandas/NumPy/scikit-learn proficiency
    …click to see all
    JD

    Jonas Dietrich

    medium hireability
    46
    Scientific Python Stack65
    ML-Ready Feature Engineering65
    Metabolomics & Lipidomics45
    LC-MS/MS Workflows40
    Mass Spec Data Processing38
    Drug Toxicity / DMPK20
    Strengths
    Core MS2LDA developer — 145 commits, major FAISS/Spec2Vec overhaul
    Spectral-Alerts: toxicologically relevant substructure screening pipeline
    Gaps
    No evidence of full untargeted LC-MS/MS pipeline (MZmine, OpenMS, XCMS, MS-DIAL)
    …click to see all
    JE

    Jonas Emmert

    medium hireability
    50
    Metabolomics & Lipidomics70
    Mass Spec Data Processing65
    LC-MS/MS Workflows60
    Scientific Python Stack60
    ML-Ready Feature Engineering40
    Drug Toxicity / DMPK5
    Strengths
    361+ commits to sirius-ms/sirius-client-openAPI — core SIRIUS developer
    FoldChangeNotebook.ipynb — metabolomics differential abundance in SIRIUS
    Gaps
    No pharma/DMPK/toxicology experience — chemical ecology only
    …click to see all
    JC

    Joshua Charkow

    medium hireability
    47
    Mass Spec Data Processing78
    LC-MS/MS Workflows72
    Scientific Python Stack68
    ML-Ready Feature Engineering38
    Metabolomics & Lipidomics18
    Drug Toxicity / DMPK5
    Strengths
    71 commits to OpenMS/OpenMS — core DIA proteomics contributor
    Co-author, OpenMS 3 (Nature Methods 2024) — large-scale MS data analysis
    Gaps
    Proteomics (DIA) focus — no metabolomics or lipidomics work found
    …click to see all
    JK

    Joshua Klein

    medium hireability
    64
    Mass Spec Data Processing95
    Scientific Python Stack92
    LC-MS/MS Workflows90
    ML-Ready Feature Engineering50
    Metabolomics & Lipidomics38
    Drug Toxicity / DMPK18
    Strengths
    ms_deisotope: deisotoping + charge deconvolution for LC-MS/MS (Python/Cython)
    ms_peak_picker: production-grade peak detection library for MS data
    Gaps
    Metabolomics/lipidomics not evidenced — primarily glycoproteomics and proteomics
    …click to see all
    JP

    J. Sebastian Paez

    medium hireability
    57
    ML-Ready Feature Engineering88
    Mass Spec Data Processing82
    Scientific Python Stack80
    LC-MS/MS Workflows58
    Drug Toxicity / DMPK22
    Metabolomics & Lipidomics12
    Strengths
    ms2ml: converts raw MS spectral libraries to ML tensors — direct Axiom need
    timsrust_pyo3: Bruker ion-mobility MS raw data access in Python/Rust
    Gaps
    Proteomics-only focus — no visible untargeted metabolomics or lipidomics work
    …click to see all
    JP

    Julianus Pfeuffer

    medium hireability
    62
    LC-MS/MS Workflows95
    Mass Spec Data Processing90
    Scientific Python Stack75
    Metabolomics & Lipidomics72
    ML-Ready Feature Engineering30
    Drug Toxicity / DMPK8
    Strengths
    1,723 commits to OpenMS — #4 all-time contributor, current maintainer
    quantms co-creator: cloud DDA/DIA LC-MS/MS pipeline (Nature Comms 2024)
    Gaps
    No drug toxicity, DMPK, or pharma context — purely academic background
    …click to see all
    KY

    Kevin L. Yang

    medium hireability
    47
    ML-Ready Feature Engineering80
    Mass Spec Data Processing62
    Scientific Python Stack60
    LC-MS/MS Workflows58
    Metabolomics & Lipidomics15
    Drug Toxicity / DMPK5
    Strengths
    MSBooster first author — Nature Comm 2023, DL for DIA proteomics spectral prediction
    386 commits on Nesvilab/MSBooster — lead maintainer, active April 2026
    Gaps
    Proteomics-only domain — no metabolomics/lipidomics pipeline work (MZmine, MS-DIAL, GNPS, XCMS)
    …click to see all
    KM

    Kevin Murray

    medium hireability
    59
    LC-MS/MS Workflows85
    Mass Spec Data Processing80
    Metabolomics & Lipidomics75
    Drug Toxicity / DMPK70
    Scientific Python Stack25
    ML-Ready Feature Engineering20
    Strengths
    29 commits to mzmine/mzmine3 + MSn feature detection fork
    CMSP-Tool-Box (211 commits): QC monitoring + Skyline Targeted Quantitation module
    Gaps
    No Python evidence — primarily Java and R
    …click to see all
    KM

    Khyati Mehta

    medium hireability
    51
    Metabolomics & Lipidomics80
    LC-MS/MS Workflows65
    Mass Spec Data Processing65
    ML-Ready Feature Engineering40
    Drug Toxicity / DMPK30
    Scientific Python Stack25
    Strengths
    Bio: 'Bioinformatics + Mass Spectrometry Metabolomics' — direct role match
    2024 LC-MS quantification paper — organic acids in pancreatic cancer
    Gaps
    R-heavy stack (RaMP-DB is R package) — no Python/Pandas/NumPy evidence
    …click to see all
    KW

    Kiana West

    medium hireability
    55
    Metabolomics & Lipidomics80
    LC-MS/MS Workflows75
    Mass Spec Data Processing75
    Scientific Python Stack50
    ML-Ready Feature Engineering28
    Drug Toxicity / DMPK20
    Strengths
    Nature Biotechnology 2022: untargeted metabolomics metadata annotation
    foodMASST tool: mass spec search across food/beverage libraries
    Gaps
    No DMPK/toxicology mass spec work — natural products focus, not pharma tox
    …click to see all
    KY

    KyowonJeong

    medium hireability
    30
    Mass Spec Data Processing72
    Scientific Python Stack35
    LC-MS/MS Workflows30
    ML-Ready Feature Engineering25
    Metabolomics & Lipidomics15
    Drug Toxicity / DMPK3
    Strengths
    143 commits to OpenMS/OpenMS — core platform contributor
    FLASHDeconv (Cell Syst 2020): first-author top-down MS deconvolution
    Gaps
    Top-down proteomics specialist — not untargeted LC-MS/MS metabolomics/lipidomics
    …click to see all
    LN

    Lars Nilse

    medium hireability
    53
    LC-MS/MS Workflows92
    Mass Spec Data Processing85
    Scientific Python Stack62
    Metabolomics & Lipidomics38
    ML-Ready Feature Engineering32
    Drug Toxicity / DMPK8
    Strengths
    1200+ commits to OpenMS — one of the platform's core contributors
    OpenMS 3 co-author, Nature Methods 2024 — peak of the field
    Gaps
    Proteomics-focused — limited explicit metabolomics/lipidomics evidence
    …click to see all
    LO

    Laura Rosina Torres Ortega

    medium hireability
    36
    Scientific Python Stack65
    Metabolomics & Lipidomics50
    Mass Spec Data Processing45
    LC-MS/MS Workflows30
    ML-Ready Feature Engineering20
    Drug Toxicity / DMPK5
    Strengths
    MS2LDA 2.0 core developer — 80 commits on spectral substructure annotation tool
    SpecReBoot 2026 bioRxiv co-author — statistical bootstrap for MS/MS molecular networks
    Gaps
    No upstream LC-MS/MS pipeline work (peak detection, alignment, normalization, batch correction)
    …click to see all
    LB

    Leon Bichmann

    medium hireability
    39
    Mass Spec Data Processing72
    LC-MS/MS Workflows70
    Scientific Python Stack60
    ML-Ready Feature Engineering20
    Metabolomics & Lipidomics8
    Drug Toxicity / DMPK5
    Strengths
    MHCquant: automated LC-MS/MS immunopeptidomics pipeline (J Proteome Res 2019)
    105 OpenMS commits — production-grade computational MS contributor
    Gaps
    No metabolomics or lipidomics work — domain is exclusively immunopeptidomics
    …click to see all
    ME

    Madeleine Ernst

    medium hireability
    55
    Metabolomics & Lipidomics85
    Mass Spec Data Processing72
    LC-MS/MS Workflows65
    Scientific Python Stack65
    ML-Ready Feature Engineering32
    Drug Toxicity / DMPK12
    Strengths
    pyMolNetEnhancer: GNPS spectral network tool, directly relevant to LC-MS/MS analysis
    Nature Protocols 2025: corresponding author on FBMN statistical analysis protocol
    Gaps
    Disease epidemiology focus — no drug toxicity, DMPK, or reactive metabolite work found
    …click to see all
    MV

    Marco Visani

    medium hireability
    38
    Scientific Python Stack55
    Mass Spec Data Processing55
    Metabolomics & Lipidomics45
    ML-Ready Feature Engineering40
    LC-MS/MS Workflows25
    Drug Toxicity / DMPK5
    Strengths
    matchms contributor — Python tandem MS data processing library
    msbuddy PR: improved MGF file loading performance (April 2026)
    Gaps
    Natural products focus — no pharma/drug toxicity or DMPK experience
    …click to see all
    MG

    Mar Garcia-Aloy

    medium hireability
    48
    Metabolomics & Lipidomics85
    LC-MS/MS Workflows82
    Mass Spec Data Processing80
    ML-Ready Feature Engineering20
    Scientific Python Stack12
    Drug Toxicity / DMPK8
    Strengths
    xcms 2025 co-author — core contributor to leading LC-MS metabolomics software ecosystem
    metaboopen repo: R-XCMS untargeted metabolomics pipeline (own tool)
    Gaps
    R-only stack — no Python (Pandas, NumPy, scikit-learn) repos visible
    …click to see all
    MS

    Mateusz Staniak

    medium hireability
    15
    Mass Spec Data Processing42
    LC-MS/MS Workflows20
    Scientific Python Stack15
    ML-Ready Feature Engineering10
    Metabolomics & Lipidomics5
    Drug Toxicity / DMPK0
    Strengths
    MSstats core contributor — normalization, batch correction, quantification for proteomics MS
    104 commits to Vitek-Lab/MSstatsTMT — labeled proteomics quantification depth
    Gaps
    No metabolomics or lipidomics experience — role's core modality
    …click to see all
    MW

    Mathias Walzer

    medium hireability
    49
    Mass Spec Data Processing90
    LC-MS/MS Workflows88
    Scientific Python Stack72
    Metabolomics & Lipidomics28
    ML-Ready Feature Engineering12
    Drug Toxicity / DMPK5
    Strengths
    517 commits to OpenMS — core contributor to the leading LC-MS/MS platform
    Co-authored OpenMS 3 (Nature Methods 2024) — large-scale reproducible MS analysis
    Gaps
    Proteomics-primary — no published metabolomics or lipidomics-specific analysis
    …click to see all
    ML

    Matteo Lacki

    medium hireability
    54
    Mass Spec Data Processing92
    Scientific Python Stack82
    LC-MS/MS Workflows65
    ML-Ready Feature Engineering52
    Metabolomics & Lipidomics20
    Drug Toxicity / DMPK10
    Strengths
    IsoSpec2 (Anal. Chem. 2020) — isotope fine structure calculator, core MS tool
    opentims/timspy/rustims — timsTOF raw data access libraries, 2021-2025
    Gaps
    Primarily proteomics-focused; limited evidence of metabolomics or lipidomics workflows
    …click to see all
    MT

    Matthew The

    medium hireability
    53
    Mass Spec Data Processing80
    Scientific Python Stack72
    LC-MS/MS Workflows65
    ML-Ready Feature Engineering55
    Drug Toxicity / DMPK35
    Metabolomics & Lipidomics10
    Strengths
    Percolator maintainer — ML-based peptide/protein ID from LC-MS/MS
    MaRaCluster: spectral clustering for large-scale shotgun proteomics
    Gaps
    No metabolomics or lipidomics experience — entirely proteomics-focused
    …click to see all
    MC

    Mauricio Caraballo

    medium hireability
    56
    Metabolomics & Lipidomics78
    LC-MS/MS Workflows75
    Mass Spec Data Processing72
    Scientific Python Stack48
    Drug Toxicity / DMPK40
    ML-Ready Feature Engineering22
    Strengths
    Nat Commun 2025: drug exposure records from untargeted metabolomics — direct DMPK relevance
    Nat Biotechnol 2026: structure-centric global metabolome mapping (Dorrestein Lab)
    Gaps
    No ML feature engineering or model-ready data prep evidence
    …click to see all
    MS

    Maxim Skoryk

    medium hireability
    54
    Scientific Python Stack72
    Mass Spec Data Processing72
    LC-MS/MS Workflows58
    Metabolomics & Lipidomics50
    Drug Toxicity / DMPK38
    ML-Ready Feature Engineering35
    Strengths
    106 commits to matchms — Python library for tandem MS spectral similarity
    RECETOX/recetox-aplcms contributor — LC-MS large-scale untargeted metabolomics
    Gaps
    Shifted to cloud/data engineering by 2023 — no recent hands-on LC-MS analysis
    …click to see all
    MC

    Meena Choi

    medium hireability
    32
    Mass Spec Data Processing75
    LC-MS/MS Workflows65
    Metabolomics & Lipidomics20
    ML-Ready Feature Engineering15
    Scientific Python Stack10
    Drug Toxicity / DMPK5
    Strengths
    MSstats primary maintainer — DDA, DIA, TMT, SRM quantitative proteomics
    MSstats v4.0 (2023): batch correction, normalization, differential abundance at scale
    Gaps
    R-first developer — no Python/Pandas/NumPy/scikit-learn evidence in GitHub
    …click to see all
    ML

    Michael Lazear

    medium hireability
    46
    LC-MS/MS Workflows90
    Mass Spec Data Processing88
    ML-Ready Feature Engineering48
    Scientific Python Stack28
    Metabolomics & Lipidomics12
    Drug Toxicity / DMPK8
    Strengths
    Sage (289 stars): end-to-end LC-MS/MS proteomics search engine, published in J. Proteome Res.
    Implements peak detection, RT alignment, LFQ/TMT quant, FDR control at cloud scale
    Gaps
    No metabolomics or lipidomics work — proteomics-only; MZmine/GNPS/MS-DIAL absent
    …click to see all
    MS

    Michael Strobel

    medium hireability
    59
    Mass Spec Data Processing75
    LC-MS/MS Workflows72
    Metabolomics & Lipidomics65
    ML-Ready Feature Engineering63
    Scientific Python Stack58
    Drug Toxicity / DMPK18
    Strengths
    ModiFinder co-author (JASMS 2024) — MS spectral alignment tool
    Wang Bioinformatics Lab (UCR) — home lab of GNPS platform
    Gaps
    Mid-PhD (~year 3) — not in prime industry-transition window
    …click to see all
    MW

    Michael Wenk

    medium hireability
    22
    Mass Spec Data Processing35
    Scientific Python Stack30
    Metabolomics & Lipidomics25
    LC-MS/MS Workflows20
    ML-Ready Feature Engineering15
    Drug Toxicity / DMPK5
    Strengths
    MassBank 2025 (NAR) — mass spectral reference data resource co-author
    MassBank3 contributor — REST API + spectral similarity search software
    Gaps
    Core expertise NMR-CASE, not LC-MS/MS data processing
    …click to see all
    MC

    Miguel Cosenza-Contreras

    medium hireability
    29
    Mass Spec Data Processing65
    LC-MS/MS Workflows42
    Drug Toxicity / DMPK22
    Metabolomics & Lipidomics22
    Scientific Python Stack10
    ML-Ready Feature Engineering10
    Strengths
    TermineR: open-source R tool for terminomics from shotgun proteomics
    21 PubMed publications; Nature Communications 2026 (proteomics of cancer)
    Gaps
    R-first scientist — no Python stack evident in 61 GitHub repos
    …click to see all
    MB

    Montgomery Bohde

    medium hireability

    Technical Advisor@Scale AI

    Previously: Quantitative Strategy Development Intern @ Susquehanna International Group

    US

    42
    Scientific Python Stack75
    ML-Ready Feature Engineering72
    Metabolomics & Lipidomics52
    Mass Spec Data Processing35
    LC-MS/MS Workflows15
    Drug Toxicity / DMPK5
    Strengths
    DiffMS (2025): molecules generated conditioned on mass spectra — core MS+ML intersection
    PyLipidParse: published PyPI library for lipid cheminformatics (LIPID MAPS, SwissLipids, HMDB, RDKit)
    Gaps
    No evidence of LC-MS/MS processing tools (MZmine, OpenMS, MS-DIAL, XCMS, GNPS)
    …click to see all
    NM

    Nathaniel Guy Mahieu

    medium hireability
    62
    LC-MS/MS Workflows90
    Mass Spec Data Processing90
    Metabolomics & Lipidomics82
    Scientific Python Stack45
    ML-Ready Feature Engineering40
    Drug Toxicity / DMPK25
    Strengths
    warpgroup: novel LC/MS peak alignment algorithm for xcms
    mz.unity: adduct/isotope relationship detection in accurate-mass MS
    Gaps
    Primary stack is R, not Python — limited Python/pandas pipeline evidence
    …click to see all
    NH

    Niels Hulstaert

    medium hireability
    43
    Mass Spec Data Processing78
    LC-MS/MS Workflows72
    ML-Ready Feature Engineering50
    Scientific Python Stack40
    Metabolomics & Lipidomics15
    Drug Toxicity / DMPK5
    Strengths
    ThermoRawFileParser first author — RAW to mzML/mzXML conversion (cited in JD formats)
    DeepLC (Nature Methods 2021) — ML + LC-MS/MS retention time prediction
    Gaps
    Proteomics-only background — no metabolomics or lipidomics work found
    …click to see all
    NH

    Nils A. Haupt

    medium hireability

    PhD student@Friedrich-Schiller-Universität Jena

    Jena, DE

    58
    ML-Ready Feature Engineering75
    Mass Spec Data Processing72
    LC-MS/MS Workflows60
    Metabolomics & Lipidomics58
    Scientific Python Stack55
    Drug Toxicity / DMPK30
    Strengths
    SIRIUS developer — core LC-MS/MS metabolite ID tool used in untargeted metabolomics
    MassSpecGym (NeurIPS 2024 Spotlight) — benchmark for ML on MS/MS annotation tasks
    Gaps
    No evidence of hands-on end-to-end pipeline work (peak picking, alignment, batch correction, MZmine/OpenMS)
    …click to see all
    OM

    Olena Mokshyna

    medium hireability
    59
    LC-MS/MS Workflows88
    Mass Spec Data Processing85
    Metabolomics & Lipidomics68
    Scientific Python Stack52
    ML-Ready Feature Engineering42
    Drug Toxicity / DMPK18
    Strengths
    102 commits + 63 PRs to mzmine/mzmine — core LC-MS/MS tool in job spec
    Nature Biotechnology 2023 MZmine 3 paper — 1046 citations
    Gaps
    Current postdoc work is molecular dynamics/QSAR, not active MS work
    …click to see all
    OA

    Oliver Alka

    medium hireability
    65
    LC-MS/MS Workflows92
    Mass Spec Data Processing88
    Metabolomics & Lipidomics85
    Scientific Python Stack72
    ML-Ready Feature Engineering40
    Drug Toxicity / DMPK12
    Strengths
    DIAMetAlyzer (Nature Comm 2022) — first-author DIA metabolomics pipeline
    652 commits to OpenMS — core LC-MS/MS platform contributor
    Gaps
    No drug toxicity or DMPK application — academic research context only
    …click to see all
    PM

    Pascal Maas

    medium hireability
    49
    Mass Spec Data Processing85
    Metabolomics & Lipidomics70
    LC-MS/MS Workflows60
    Scientific Python Stack40
    Drug Toxicity / DMPK25
    ML-Ready Feature Engineering15
    Strengths
    mzQuality lead (373 commits) — targeted MS QC, batch correction, normalization
    3 HILIC-LC-MS metabolomics papers in 2025 covering untargeted workflows
    Gaps
    Primary language is R, not Python — Axiom stack is Python-first
    …click to see all
    PC

    Pasquale Colaianni

    medium hireability
    61
    LC-MS/MS Workflows92
    Mass Spec Data Processing90
    Metabolomics & Lipidomics72
    Scientific Python Stack65
    ML-Ready Feature Engineering38
    Drug Toxicity / DMPK10
    Strengths
    445 commits to OpenMS/OpenMS — top-tier contributor to flagship MS tool
    SmartPeak (Anal. Chem. 2020) — automated targeted/quantitative metabolomics pipelines
    Gaps
    No pharma/drug toxicity or DMPK context — purely academic/sustainability lab background
    …click to see all
    PL

    Philippine Louail

    medium hireability
    52
    LC-MS/MS Workflows88
    Mass Spec Data Processing85
    Metabolomics & Lipidomics82
    Scientific Python Stack32
    ML-Ready Feature Engineering18
    Drug Toxicity / DMPK8
    Strengths
    87 commits to sneumann/xcms — core LC-MS/MS preprocessing contributor
    Metabonaut author: end-to-end LC-MS/MS metabolomics tutorial (peak pick→annotation)
    Gaps
    No drug toxicity or DMPK context — pure metabolomics methodology, not pharma/tox applications
    …click to see all
    RM

    René Meier

    medium hireability
    43
    Mass Spec Data Processing72
    Metabolomics & Lipidomics65
    LC-MS/MS Workflows60
    Scientific Python Stack38
    ML-Ready Feature Engineering12
    Drug Toxicity / DMPK8
    Strengths
    727 commits to MassBank/MassBank-data — primary database maintainer
    MSConvertGUI-docker: containerized ProteoWizard for MS format conversion
    Gaps
    Plant biochemistry focus — no pharma/drug toxicity or DMPK evidence
    …click to see all
    RA

    Reza Aalizadeh

    medium hireability
    62
    LC-MS/MS Workflows85
    Mass Spec Data Processing85
    Metabolomics & Lipidomics60
    ML-Ready Feature Engineering55
    Drug Toxicity / DMPK45
    Scientific Python Stack40
    Strengths
    100+ pubs, 4K citations — career built on LC-HRMS non-target screening
    Exposomics: metabolomic + proteomic analysis of chemical exposure at Yale YSPH
    Gaps
    Primary domain is environmental contaminants, not pharmaceutical DMPK/reactive metabolites
    …click to see all
    RC

    Ricardo Cunha

    medium hireability
    46
    LC-MS/MS Workflows85
    Mass Spec Data Processing82
    Metabolomics & Lipidomics42
    Scientific Python Stack25
    Drug Toxicity / DMPK22
    ML-Ready Feature Engineering18
    Strengths
    StreamFind: 582 commits — built full non-target LC-MS/MS pipeline from scratch
    StreamCraft: C++ mzML/mzXML library — low-level MS data engineering
    Gaps
    Domain is environmental NTS (wastewater/contaminants), not biomedical or drug toxicology
    …click to see all
    RH

    Rick Helmus

    medium hireability
    48
    LC-MS/MS Workflows93
    Mass Spec Data Processing91
    Metabolomics & Lipidomics48
    Drug Toxicity / DMPK28
    ML-Ready Feature Engineering15
    Scientific Python Stack14
    Strengths
    patRoon: sole author of XCMS/OpenMS/GNPS/SIRIUS workflow platform (10k+ commits)
    Full NTA pipeline: peak detection, alignment, normalization, annotation, batch correction
    Gaps
    Environmental NTA focus — no pharma/biotech or drug toxicity context
    …click to see all
    RD

    Rico Derks

    medium hireability
    52
    Metabolomics & Lipidomics88
    LC-MS/MS Workflows85
    Mass Spec Data Processing80
    Scientific Python Stack25
    ML-Ready Feature Engineering22
    Drug Toxicity / DMPK10
    Strengths
    MSDIALconveRter repo — direct MS-DIAL pipeline tooling
    lipidomics Shiny app — end-to-end lipidomics workflow
    Gaps
    Primary stack is R, not Python — Axiom uses Python
    …click to see all
    RB

    Robbin Bouwmeester

    medium hireability
    59
    Scientific Python Stack80
    Mass Spec Data Processing80
    LC-MS/MS Workflows75
    ML-Ready Feature Engineering75
    Metabolomics & Lipidomics40
    Drug Toxicity / DMPK5
    Strengths
    DeepLC v4.0 multitask: DL for LC-MS/MS retention time prediction (Nature Commun 2026)
    MASSTRPLAN PhD: LC-MS(²) lipid data mining, oxidized lipids
    Gaps
    Post-PhD work is proteomics-focused; limited metabolomics pipeline work
    …click to see all
    RB

    Roman Bushuiev

    medium hireability

    PhD Student@Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences

    Previously: Visiting Researcher @ Seoul National University

    Prague, CZ

    67
    ML-Ready Feature Engineering92
    Mass Spec Data Processing82
    Scientific Python Stack80
    LC-MS/MS Workflows70
    Metabolomics & Lipidomics62
    Drug Toxicity / DMPK15
    Strengths
    DreaMS (Nat Biotechnology 2025): SSL on millions of tandem mass spectra → molecular embeddings
    MassSpecGym (NeurIPS 2024 Spotlight): ML benchmark for MS-based molecule identification
    Gaps
    No drug toxicology or DMPK experience — work focused on natural product discovery
    …click to see all
    SW

    Samuel Wein

    medium hireability
    55
    Mass Spec Data Processing92
    LC-MS/MS Workflows88
    Scientific Python Stack68
    Metabolomics & Lipidomics42
    ML-Ready Feature Engineering30
    Drug Toxicity / DMPK8
    Strengths
    1217 commits to OpenMS — one of the exact tools listed in job spec
    OpenMS 3 Nature Methods 2024 — large-scale LC-MS/MS reproducibility at scale
    Gaps
    Primary work is proteomics/RNA mods — not metabolomics or lipidomics
    …click to see all
    SW

    Sander Willems

    medium hireability
    48
    Mass Spec Data Processing78
    LC-MS/MS Workflows65
    ML-Ready Feature Engineering55
    Scientific Python Stack50
    Drug Toxicity / DMPK28
    Metabolomics & Lipidomics10
    Strengths
    timsrust primary maintainer (269 commits) — Bruker's timsTOF data library
    AlphaDIA co-author (Nature Biotech 2025) — feature-free DIA proteomics
    Gaps
    Proteomics-only — no evidence of metabolomics or lipidomics workflows
    …click to see all
    SC

    Sandra Castillo

    medium hireability
    49
    LC-MS/MS Workflows75
    Mass Spec Data Processing75
    Scientific Python Stack60
    Metabolomics & Lipidomics60
    ML-Ready Feature Engineering20
    Drug Toxicity / DMPK5
    Strengths
    MZmine 2 co-author — foundational LC-MS/MS platform (2010 BMC Bioinformatics)
    200 commits to mzmine/mzmine3: targeted peak detection, formula prediction, clustering
    Gaps
    MS workflow expertise is ~10 years old; current focus is systems biology / enzyme AI
    …click to see all
    SS

    Sigurður Smárason

    medium hireability
    53
    Metabolomics & Lipidomics78
    Mass Spec Data Processing72
    LC-MS/MS Workflows70
    Scientific Python Stack65
    Drug Toxicity / DMPK18
    ML-Ready Feature Engineering12
    Strengths
    Group Leader Metabolomics at Eurac Research — 12 years leading metabolomics
    Biocrates p180 LC-MS/MS targeted metabolomics on 5000-subject CHRIS cohort
    Gaps
    No evidence of MZmine, OpenMS, MS-DIAL, GNPS, or Skyline — key JD tools
    …click to see all
    TB

    Tara Bowen

    medium hireability
    54
    Metabolomics & Lipidomics80
    Drug Toxicity / DMPK75
    LC-MS/MS Workflows65
    Mass Spec Data Processing65
    Scientific Python Stack20
    ML-Ready Feature Engineering20
    Strengths
    Nature Comms 2023 (1st author): UHPLC-MS metabolomics, XCMS/MetFrag for drug fate
    Arch Toxicol 2025 (1st author): metabolic signature for drug-induced cardiotoxicity
    Gaps
    R-centric stack (XCMS, msPurity, structToolbox) — Python proficiency unverified
    …click to see all
    TD

    Thomas Sparholt Dyrlund

    medium hireability
    61
    LC-MS/MS Workflows90
    Mass Spec Data Processing82
    Metabolomics & Lipidomics78
    Drug Toxicity / DMPK50
    Scientific Python Stack35
    ML-Ready Feature Engineering30
    Strengths
    220 commits on mzmine/mzmine3 — core developer of JD-named tool
    Forked OpenMS and MSDK — broad MS framework coverage
    Gaps
    No ML feature engineering or AI-ready pipeline evidence
    …click to see all
    TL

    Tianze Ling

    medium hireability

    Ph.D. candidate@Tsinghua University and National Center for Protein Sciences (Beijing)

    Previously: PhD student @ Tsinghua University

    China

    33
    ML-Ready Feature Engineering65
    Scientific Python Stack55
    Mass Spec Data Processing55
    LC-MS/MS Workflows15
    Metabolomics & Lipidomics5
    Drug Toxicity / DMPK0
    Strengths
    π-HelixNovo: large-scale de novo peptide sequencing from MS/MS, 37 citations
    ContraNovo: contrastive learning on tandem MS spectra, 24 citations
    Gaps
    No LC-MS/MS metabolomics or lipidomics workflow experience
    …click to see all
    TR

    Tim Daniel Rose

    medium hireability
    60
    Metabolomics & Lipidomics80
    Mass Spec Data Processing78
    Scientific Python Stack70
    ML-Ready Feature Engineering65
    LC-MS/MS Workflows45
    Drug Toxicity / DMPK22
    Strengths
    ionimage_embedding: DL representation learning of MS ion images (PyTorch, 230 commits)
    MoSBi (PNAS 2022): automated biclustering for metabolomic/lipidomic stratification
    Gaps
    Primary MS expertise is imaging (spatial metabolomics/METASPACE), not bulk LC-MS/MS
    …click to see all
    TS

    Timo Sachsenberg

    medium hireability
    66
    LC-MS/MS Workflows97
    Mass Spec Data Processing95
    Scientific Python Stack87
    Metabolomics & Lipidomics72
    ML-Ready Feature Engineering30
    Drug Toxicity / DMPK12
    Strengths
    4354 commits to OpenMS/OpenMS — 2nd highest contributor all-time
    UmetaFlow: untargeted metabolomics LC-MS/MS pipeline using pyOpenMS (2023)
    Gaps
    No drug toxicity or DMPK work — methods/tools development background only
    …click to see all
    TH

    Ting Huang

    medium hireability
    41
    Mass Spec Data Processing82
    LC-MS/MS Workflows70
    ML-Ready Feature Engineering28
    Scientific Python Stack25
    Metabolomics & Lipidomics20
    Drug Toxicity / DMPK18
    Strengths
    MSstatsTMT primary developer — TMT proteomics statistical LC-MS/MS (R/Bioconductor)
    DIA + TMT workflows — alignment, normalization, batch correction for proteomics MS
    Gaps
    No metabolomics or lipidomics published work — all proteomics
    …click to see all
    TS

    Tobias Schmidt

    medium hireability
    57
    Mass Spec Data Processing85
    LC-MS/MS Workflows80
    ML-Ready Feature Engineering78
    Scientific Python Stack68
    Metabolomics & Lipidomics20
    Drug Toxicity / DMPK8
    Strengths
    Prosit (Nature Methods 2019, ~1000 citations): deep learning for LC-MS/MS spectral prediction
    MSAID engineer building CHIMERYS (AI DDA/DIA deconvolution) and INFERYS rescoring
    Gaps
    Primarily proteomics (peptides/proteins), not metabolomics or lipidomics
    …click to see all
    TW

    Tom Waschischeck

    medium hireability
    39
    Mass Spec Data Processing72
    LC-MS/MS Workflows65
    Scientific Python Stack45
    Metabolomics & Lipidomics25
    ML-Ready Feature Engineering20
    Drug Toxicity / DMPK5
    Strengths
    218 commits to OpenMS/OpenMS — core C++ LC-MS/MS platform contributor
    DatabaseSuitability TOPP tool: proteomics DB quality for LC-MS/MS peptide ID
    Gaps
    Proteomics-focused — limited evidence of metabolomics or lipidomics pipelines
    …click to see all
    TW

    Tony Wu

    medium hireability
    33
    Mass Spec Data Processing65
    LC-MS/MS Workflows50
    Scientific Python Stack35
    ML-Ready Feature Engineering25
    Metabolomics & Lipidomics20
    Drug Toxicity / DMPK5
    Strengths
    MSstatsBioNet lead (100 commits) — pathway/network inference from MS data
    MSstats: normalization, imputation, QC metrics, differential abundance for LC-MS/MS proteomics
    Gaps
    Proteomics-only focus — no metabolomics/lipidomics pipeline evidence
    …click to see all
    VK

    Vitaly Kovalev

    medium hireability
    56
    Mass Spec Data Processing82
    Scientific Python Stack78
    ML-Ready Feature Engineering73
    Metabolomics & Lipidomics68
    LC-MS/MS Workflows30
    Drug Toxicity / DMPK5
    Strengths
    1016 commits to METASPACE — full-stack cloud MS annotation engine
    OffsampleAI (2020): published CNN QC system for imaging MS data
    Gaps
    Imaging MS (MALDI/DESI) specialist — limited LC-MS/MS pipeline experience
    …click to see all
    VG

    Vladimir Gorshkov

    medium hireability
    39
    Mass Spec Data Processing70
    LC-MS/MS Workflows65
    Scientific Python Stack50
    ML-Ready Feature Engineering25
    Metabolomics & Lipidomics15
    Drug Toxicity / DMPK10
    Strengths
    FlashIDA: real-time intelligent data acquisition for top-down proteomics
    ThermoRawFileParser contributor — production-grade RAW file parsing at scale
    Gaps
    Proteomics-only background — no visible metabolomics or lipidomics work
    …click to see all
    WA

    Wasim Amiri

    medium hireability
    43
    Scientific Python Stack70
    LC-MS/MS Workflows65
    Mass Spec Data Processing65
    Metabolomics & Lipidomics45
    ML-Ready Feature Engineering10
    Drug Toxicity / DMPK5
    Strengths
    Built czbiohub-sf/Rapid-QC-MS (40 commits) — realtime LC-MS QC using MS-DIAL
    CZ Biohub Research Associate: mass spec platform bioinformatics tools
    Gaps
    Mass spec work was 2022–2023; current role is general software engineering
    …click to see all
    WL

    Wenke Liu

    medium hireability

    New York University School of Medicine

    45
    Mass Spec Data Processing72
    LC-MS/MS Workflows60
    Scientific Python Stack55
    ML-Ready Feature Engineering52
    Drug Toxicity / DMPK15
    Metabolomics & Lipidomics15
    Strengths
    Pan-cancer PTM analysis (Cell 2023, 137 citations) — large-scale LC-MS/MS data
    CPTAC proteogenomics: multiple pan-cancer Cell papers (2023-2025)
    Gaps
    No metabolomics or lipidomics work in publication record
    …click to see all
    WF

    Will Fondrie

    medium hireability
    60
    Scientific Python Stack90
    ML-Ready Feature Engineering88
    Mass Spec Data Processing82
    LC-MS/MS Workflows55
    Metabolomics & Lipidomics28
    Drug Toxicity / DMPK18
    Strengths
    depthcharge: PyTorch transformer toolkit for MS data, 89 stars, active development
    mokapot: published J Proteome Res 2021, semi-supervised peptide detection
    Gaps
    Proteomics-dominant expertise — limited metabolomics/lipidomics signal
    …click to see all
    WB

    Wout Bittremieux

    medium hireability

    Assistant research professor@University of Antwerp

    Previously: Postdoc @ University of California, San Diego

    Antwerp, BE

    73
    Mass Spec Data Processing95
    Scientific Python Stack88
    LC-MS/MS Workflows85
    Metabolomics & Lipidomics82
    ML-Ready Feature Engineering80
    Drug Toxicity / DMPK8
    Strengths
    spectrum_utils: Python MS data processing library, 67 citations, widely adopted
    h=31 with 31 MS papers, 14 metabolomics papers — core expertise match
    Gaps
    No drug toxicity/DMPK or pharma experience — entirely academic research context
    …click to see all
    YD

    Yamei Deng

    medium hireability
    34
    Mass Spec Data Processing75
    LC-MS/MS Workflows70
    Scientific Python Stack22
    ML-Ready Feature Engineering18
    Metabolomics & Lipidomics12
    Drug Toxicity / DMPK5
    Strengths
    MSFragger-DDA+ co-author (2024) — novel LC-MS/MS peptide ID algorithm
    pClean tool author: MS/MS preprocessing (isotope, deconvolution, peak cleaning)
    Gaps
    Proteomics-only — no metabolomics or lipidomics work demonstrated
    …click to see all
    Y(

    Yao Lu (yao-lzy)

    medium hireability
    50
    Metabolomics & Lipidomics82
    LC-MS/MS Workflows80
    Mass Spec Data Processing75
    ML-Ready Feature Engineering30
    Scientific Python Stack25
    Drug Toxicity / DMPK10
    Strengths
    94 commits to xia-lab/MetaboAnalystR — core contributor
    MetaboAnalyst 6.0 co-author: untargeted LC-MS processing platform
    Gaps
    R-first developer — no evidence of Python metabolomics stack proficiency
    …click to see all
    YA

    Yasin El Abiead

    medium hireability
    62
    Mass Spec Data Processing90
    LC-MS/MS Workflows88
    Metabolomics & Lipidomics78
    Scientific Python Stack50
    ML-Ready Feature Engineering45
    Drug Toxicity / DMPK20
    Strengths
    mzRAPP benchmarks MZmine, OpenMS, MS-DIAL, XCMS, El-MAVEN preprocessing (Bioinformatics 2021)
    StructureMASST lead author: structure-centric metabolome search, Nat Biotechnol 2026
    Gaps
    No pharma/biotech drug toxicity or DMPK context — purely academic metabolomics
    …click to see all
    YH

    Yuhui Hong

    medium hireability
    64
    ML-Ready Feature Engineering82
    Mass Spec Data Processing80
    Metabolomics & Lipidomics75
    Scientific Python Stack72
    LC-MS/MS Workflows65
    Drug Toxicity / DMPK12
    Strengths
    FIDDLE (Nature Comm 2025) — de novo metabolite ID from LC-MS/MS by deep learning
    3DMolMS (Bioinformatics 2023) — ML-based tandem MS prediction from 3D structure
    Gaps
    No drug toxicity or DMPK work — research is molecular ID, not toxicity mechanisms
    …click to see all
    ZA

    Zargham Ahmad

    medium hireability
    60
    Mass Spec Data Processing82
    LC-MS/MS Workflows78
    Scientific Python Stack72
    Metabolomics & Lipidomics72
    ML-Ready Feature Engineering48
    Drug Toxicity / DMPK8
    Strengths
    recetox-aplcms: mzML LC/MS peak detection, RT correction, alignment at scale
    82 commits to matchms — spectral similarity scoring library
    Gaps
    No drug toxicity / DMPK or pharma application evidence
    …click to see all
    Z(

    Zheng Zhang (zhnzhang)

    medium hireability
    40
    LC-MS/MS Workflows62
    Mass Spec Data Processing58
    Metabolomics & Lipidomics52
    Scientific Python Stack45
    ML-Ready Feature Engineering20
    Drug Toxicity / DMPK5
    Strengths
    27 commits to mzmine/mzmine3 — MS/MS filtering and GNPS integration (2017)
    Kovats retention index filter for GNPS output — GC-MS compound annotation
    Gaps
    Mass spec work is ~9 years old (2017); likely rusty on modern tools
    …click to see all
    ZP

    Zhiqiang Pang

    medium hireability
    69
    LC-MS/MS Workflows97
    Mass Spec Data Processing95
    Metabolomics & Lipidomics92
    ML-Ready Feature Engineering60
    Scientific Python Stack55
    Drug Toxicity / DMPK15
    Strengths
    497 commits to xia-lab/MetaboAnalystR — largest single contributor
    MetaboAnalystR 4.0 (Nature Comms 2024): unified untargeted LC-MS/MS workflow
    Gaps
    No drug toxicity or DMPK work — environmental metabolomics only
    …click to see all
    AA

    Allegra T. Aron

    low hireability
    54
    LC-MS/MS Workflows88
    Mass Spec Data Processing80
    Metabolomics & Lipidomics78
    Scientific Python Stack48
    ML-Ready Feature Engineering25
    Drug Toxicity / DMPK5
    Strengths
    Nature Protocols 2020: co-led reproducible GNPS molecular networking protocol
    Nature Communications 2021: Ion Identity Molecular Networking — novel MS/MS annotation
    Gaps
    No evidence of drug toxicity, DMPK, or pharma/biotech context
    …click to see all
    AK

    Ansgar Korf

    low hireability
    58
    LC-MS/MS Workflows97
    Mass Spec Data Processing95
    Metabolomics & Lipidomics93
    Scientific Python Stack28
    ML-Ready Feature Engineering22
    Drug Toxicity / DMPK12
    Strengths
    412 commits to mzmine/mzmine3 — one of few core platform developers
    Co-author MZmine 3 Nature Methods 2024 — reproducible untargeted MS pipelines
    Gaps
    CEO of mzio GmbH — building his own startup, low openness to hire
    …click to see all
    CB

    Chris Bielow

    low hireability
    65
    LC-MS/MS Workflows95
    Mass Spec Data Processing95
    Scientific Python Stack75
    Metabolomics & Lipidomics70
    ML-Ready Feature Engineering35
    Drug Toxicity / DMPK20
    Strengths
    4294 commits to OpenMS — core developer of LC-MS/MS pipeline framework
    OpenMS 3 (Nat Methods 2024) — reproducible large-scale MS data analysis
    Gaps
    No DMPK / reactive metabolite / drug toxicity work found
    …click to see all
    CB

    Conrad Bessant

    low hireability

    Co-Founder@Mebomine

    Previously: Research Fellow @ The Alan Turing Institute

    London, GB

    61
    Mass Spec Data Processing85
    LC-MS/MS Workflows75
    Metabolomics & Lipidomics60
    ML-Ready Feature Engineering60
    Scientific Python Stack55
    Drug Toxicity / DMPK30
    Strengths
    mzQuantML standard author — HUPO-PSI MS quantification data standard
    MRMaid (125 citations) — MRM/SRM LC-MS/MS transition design tool
    Gaps
    Untargeted metabolomics pipelines (MZmine/OpenMS/MS-DIAL) not evidenced in papers
    …click to see all
    DF

    David Fenyo

    low hireability

    Institute for Systems Genetics

    Previously: Full Professor @ New York University

    54
    Mass Spec Data Processing85
    LC-MS/MS Workflows72
    ML-Ready Feature Engineering62
    Scientific Python Stack55
    Metabolomics & Lipidomics30
    Drug Toxicity / DMPK22
    Strengths
    PhosphoDisco — computational tandem-MS phosphoproteomic pipeline (2023)
    CPTAC pan-cancer proteogenomics — large-scale LC-MS/MS data across cancer types
    Gaps
    Tenured professor with two graduate directorships — very unlikely to leave academia
    …click to see all
    DW

    David Wishart

    low hireability

    Distinguished University Professor@University of Alberta

    Edmonton, CA

    85
    Metabolomics & Lipidomics99
    LC-MS/MS Workflows98
    Mass Spec Data Processing95
    ML-Ready Feature Engineering80
    Drug Toxicity / DMPK70
    Scientific Python Stack70
    Strengths
    Creator of HMDB — canonical metabolomics reference (>250K human metabolites)
    MetaboAnalyst 6.0 — most-cited metabolomics pipeline platform (1,085 citations 2024)
    Gaps
    Tenured professor 30+ years — extremely unlikely to leave academia
    …click to see all
    DM

    Douglas McCloskey

    low hireability

    Founder@Biom8er

    Previously: Group Leader @ Sanofi

    Santa Ana, US

    75
    LC-MS/MS Workflows92
    Mass Spec Data Processing88
    Metabolomics & Lipidomics82
    Scientific Python Stack72
    ML-Ready Feature Engineering72
    Drug Toxicity / DMPK45
    Strengths
    OpenMS 3 co-author (2024) — exactly the tool Axiom lists
    SmartPeak: built automated metabolomics pipeline tool (2020, 34 cites)
    Gaps
    Founder/CEO of Biom8er — unlikely to leave own startup
    …click to see all
    EK

    Erhan Kenar

    low hireability
    48
    LC-MS/MS Workflows85
    Mass Spec Data Processing80
    Metabolomics & Lipidomics75
    Scientific Python Stack25
    ML-Ready Feature Engineering20
    Drug Toxicity / DMPK5
    Strengths
    Built FeatureFinderMetabo — core untargeted metabolomics feature detection in OpenMS
    Built MetaboliteSpectralMatcher — spectral library matching tool for metabolite ID
    Gaps
    No evidence of ML/feature engineering for model training — purely computational pipelines
    …click to see all
    EM

    Ewy Mathé

    low hireability
    49
    Metabolomics & Lipidomics85
    LC-MS/MS Workflows52
    Mass Spec Data Processing50
    ML-Ready Feature Engineering50
    Scientific Python Stack38
    Drug Toxicity / DMPK18
    Strengths
    "Recent advances in MS-based computational metabolomics" review (Curr Opin Chem Biol. 2023)
    RaMP-DB v2.0 co-developer — metabolomics/gene pathway annotation resource
    Gaps
    No evidence of hands-on LC-MS/MS pipeline code (MZmine, OpenMS, MS-DIAL, XCMS)
    …click to see all
    FH

    Florian Huber

    low hireability

    Associate Professor@Hochschule Düsseldorf

    Previously: Researcher @ Netherlands eScience Center

    Düsseldorf, DE

    68
    Scientific Python Stack90
    ML-Ready Feature Engineering88
    Mass Spec Data Processing87
    Metabolomics & Lipidomics75
    LC-MS/MS Workflows62
    Drug Toxicity / DMPK5
    Strengths
    matchms lead developer — Python MS/MS spectral processing library (256⭐, 89-citation paper)
    spec2vec: Word2Vec embeddings from MS spectra, 227 citations
    Gaps
    No drug toxicity, reactive metabolite, or DMPK experience
    …click to see all
    GA

    GauthierBoaglio

    low hireability
    33
    LC-MS/MS Workflows65
    Mass Spec Data Processing60
    Metabolomics & Lipidomics35
    Scientific Python Stack15
    ML-Ready Feature Engineering15
    Drug Toxicity / DMPK5
    Strengths
    Hierarchical Aligner GC — major MZmine alignment module (2,626 lines, 2018)
    RCaller/Rserve integration — R-based stats in MZmine pipeline
    Gaps
    Contributions are 7+ years old (2015–2018); no recent mass spec work visible
    …click to see all
    HR

    Hannes Roest

    low hireability
    74
    LC-MS/MS Workflows95
    Mass Spec Data Processing95
    Scientific Python Stack90
    Metabolomics & Lipidomics82
    ML-Ready Feature Engineering65
    Drug Toxicity / DMPK18
    Strengths
    OpenSWATH + OpenMS: core DIA LC-MS/MS pipeline developer (Nat Biotechnol, Nat Methods)
    DIAMetAlyzer: FDR-controlled DIA metabolomics annotation (Nat Comm 2022)
    Gaps
    Drug toxicity / DMPK not a current focus — reactive metabolites, hepatotoxicity absent from portfolio
    …click to see all
    HR

    Hannes Rost

    low hireability

    Associate Professor@University of Toronto

    Toronto, CA

    77
    LC-MS/MS Workflows98
    Mass Spec Data Processing97
    Scientific Python Stack90
    ML-Ready Feature Engineering82
    Metabolomics & Lipidomics78
    Drug Toxicity / DMPK18
    Strengths
    OpenSWATH (2014 Nat Biotech) — pioneered automated DIA-LC-MS/MS analysis
    4,481 commits to OpenMS — top contributor and 2016 Nat Methods co-author
    Gaps
    Primary expertise is proteomics/DIA, not untargeted metabolomics or lipidomics-first workflows
    …click to see all
    HS

    Huibin Shen

    low hireability

    Machine Learning Scientist@Amazon

    Previously: PhD student @ Aalto University

    Berlin, DE

    55
    ML-Ready Feature Engineering90
    Metabolomics & Lipidomics75
    Scientific Python Stack65
    Mass Spec Data Processing60
    LC-MS/MS Workflows35
    Drug Toxicity / DMPK5
    Strengths
    CSI:FingerID co-author (1182 citations) — core MS/MS metabolite ID tool
    fingerid repo: ML fingerprint prediction from MS/MS spectra
    Gaps
    8+ year gap since active metabolomics/mass spec work
    …click to see all
    JR

    Jan Christian Refsgaard

    low hireability

    Principal Data Scientist@Novo Nordisk

    Previously: Lead Data Scientist @ Novo Nordisk

    Søborg, DK

    56
    Mass Spec Data Processing85
    Scientific Python Stack75
    ML-Ready Feature Engineering72
    LC-MS/MS Workflows62
    Drug Toxicity / DMPK28
    Metabolomics & Lipidomics12
    Strengths
    PhD thesis: modeling inherent mass spec data — deep pipeline expertise
    CrossWork: built custom LC-MS/MS cross-linking software (58 citations)
    Gaps
    Proteomics-focused; no metabolomics or lipidomics work found
    …click to see all
    JE

    Jessica Ewald

    low hireability
    58
    Metabolomics & Lipidomics78
    LC-MS/MS Workflows72
    Mass Spec Data Processing68
    Drug Toxicity / DMPK55
    Scientific Python Stack42
    ML-Ready Feature Engineering35
    Strengths
    Nature Protocols 2022: LC-HRMS spectra processing protocol paper
    14 commits to MetaboAnalystR — core contributor to major metabolomics platform
    Gaps
    Recent work (2024–2026) shifted toward Cell Painting/imaging, not mass spec
    …click to see all
    JL

    Jonathan Long

    low hireability

    Laboratory of Chemical Physiology@Stanford University

    USA

    46
    Metabolomics & Lipidomics92
    LC-MS/MS Workflows72
    Mass Spec Data Processing62
    Drug Toxicity / DMPK22
    Scientific Python Stack18
    ML-Ready Feature Engineering12
    Strengths
    Lab of Chemical Physiology at Stanford — lipidomics is core modality
    Lac-Phe discovery (Nature 2022) via targeted LC-MS/MS metabolomics
    Gaps
    Associate Professor PI — not a computational scientist building pipelines
    …click to see all
    JR

    Juho Rousu

    low hireability

    Full Professor@Aalto University

    Finland

    63
    ML-Ready Feature Engineering90
    Mass Spec Data Processing85
    Metabolomics & Lipidomics75
    Scientific Python Stack55
    LC-MS/MS Workflows50
    Drug Toxicity / DMPK20
    Strengths
    SIRIUS 4 co-creator — canonical tandem MS metabolite annotation tool (1741 citations)
    CSI:FingerID — leading structure elucidation from MS/MS spectra (1182 citations)
    Gaps
    Focus on metabolite ID / structure elucidation — not upstream peak-picking or batch correction pipelines
    …click to see all
    JH

    Justin J.J. van der Hooft

    low hireability

    Assistant Professor in Computational Metabolomics at Bioinformatics Group at Wageningen University@Wageningen University

    Previously: Postdoctoral Researcher in genome and metabolome mining @ Wageningen University

    Wageningen, NL

    83
    LC-MS/MS Workflows95
    Mass Spec Data Processing95
    Metabolomics & Lipidomics93
    ML-Ready Feature Engineering88
    Scientific Python Stack85
    Drug Toxicity / DMPK40
    Strengths
    matchms Python library — core LC-MS/MS spectral processing tool
    MS2DeepScore: deep learning for tandem MS spectral similarity (159 citations)
    Gaps
    No direct drug toxicity or DMPK focus — natural products, not pharma context
    …click to see all
    KD

    Kai Dührkop

    low hireability

    Chief Research Officer & Co-Founder@Bright Giant GmbH

    Previously: Postdoc @ Friedrich-Schiller Universität Jena

    DE

    71
    LC-MS/MS Workflows97
    Mass Spec Data Processing97
    Metabolomics & Lipidomics87
    ML-Ready Feature Engineering75
    Scientific Python Stack48
    Drug Toxicity / DMPK22
    Strengths
    SIRIUS 4 lead developer — 1741-citation LC-MS/MS metabolite ID tool
    CSI:FingerID: ML-based structure prediction from MS/MS fingerprints
    Gaps
    No DMPK or drug toxicity application context in published work
    …click to see all
    KV

    Kirill Veselkov

    low hireability

    Associate Professor in Cancer Informatics@Imperial College London

    Previously: Assistant Professor @ Yale University

    London, GB

    59
    Metabolomics & Lipidomics85
    Mass Spec Data Processing80
    ML-Ready Feature Engineering72
    Scientific Python Stack52
    LC-MS/MS Workflows35
    Drug Toxicity / DMPK28
    Strengths
    ChemDistiller: metabolite annotation engine for MS data (2018, 65 citations)
    BASIS platform: large-scale MS imaging bioinformatics (2018, 59 citations)
    Gaps
    Imaging MS specialist (DESI/MALDI) — limited LC-MS/MS pipeline evidence
    …click to see all
    KY

    kyrasolaris01

    low hireability
    38
    Mass Spec Data Processing75
    LC-MS/MS Workflows72
    Metabolomics & Lipidomics55
    Scientific Python Stack12
    ML-Ready Feature Engineering8
    Drug Toxicity / DMPK5
    Strengths
    5th contributor to mzmine/mzmine3 (399 commits) — deep tool expertise
    Lipid annotation algorithm work: scoring, MSMS parameter documentation
    Gaps
    All work in Java — no evidence of Python/Pandas/NumPy data analysis
    …click to see all
    LB

    Lorenz Blum

    low hireability
    46
    Scientific Python Stack70
    Mass Spec Data Processing70
    LC-MS/MS Workflows68
    ML-Ready Feature Engineering28
    Drug Toxicity / DMPK25
    Metabolomics & Lipidomics15
    Strengths
    57 commits to msproteomicstools — TRIC alignment for SWATH-MS
    Nature Medicine 2015: SWATH proteomics tissue biopsy (2000+ proteins)
    Gaps
    Proteomics-only focus — no evidence of metabolomics or lipidomics MS work
    …click to see all
    LN

    Louis-Félix Nothias

    low hireability
    74
    LC-MS/MS Workflows97
    Mass Spec Data Processing96
    Metabolomics & Lipidomics95
    Scientific Python Stack72
    ML-Ready Feature Engineering65
    Drug Toxicity / DMPK18
    Strengths
    128 commits to CCMS-UCSD/GNPS_Workflows — de-facto GNPS maintainer
    MZmine 3 protocol (Nat Protoc 2024) — canonical LC-MS/MS processing pipeline
    Gaps
    No drug toxicity or DMPK work visible — pure basic-science metabolomics
    …click to see all
    ML

    Marcus Ludwig

    low hireability

    Chief Executive Officer & Co-Founder@Bright Giant

    Previously: Postdoc @ Friedrich-Schiller Universität Jena

    DE

    61
    LC-MS/MS Workflows88
    Mass Spec Data Processing82
    Metabolomics & Lipidomics78
    ML-Ready Feature Engineering58
    Scientific Python Stack42
    Drug Toxicity / DMPK15
    Strengths
    SIRIUS 4 co-developer — tandem MS metabolite ID, 1741 citations
    GNPS molecular networking co-author — 1388 citations
    Gaps
    CEO role at Bright Giant — business/funding focus, not hands-on computation
    …click to see all
    MI

    Mark Ivanov

    low hireability
    62
    Mass Spec Data Processing90
    LC-MS/MS Workflows85
    Scientific Python Stack85
    ML-Ready Feature Engineering65
    Drug Toxicity / DMPK30
    Metabolomics & Lipidomics15
    Strengths
    biosaur2 author — LC-MS1 peak detection tool, 22 releases, active 2025
    scavager — FDR/post-search validation using gradient boosting (pub 2019)
    Gaps
    No metabolomics or lipidomics work found — proteomics-only background
    …click to see all
    MF

    Markus Fleischauer

    low hireability
    59
    LC-MS/MS Workflows90
    Mass Spec Data Processing88
    Metabolomics & Lipidomics78
    ML-Ready Feature Engineering45
    Scientific Python Stack35
    Drug Toxicity / DMPK20
    Strengths
    5,653 commits to sirius-ms/sirius — dominant LC-MS/MS tool for metabolite ID
    CTO of Bright Giant GmbH — commercializing SIRIUS for LC-MS/MS annotation at scale
    Gaps
    Founder/CTO — extremely unlikely to leave own company
    …click to see all
    MW

    Michael Witting

    low hireability
    54
    Metabolomics & Lipidomics92
    LC-MS/MS Workflows85
    Mass Spec Data Processing80
    Scientific Python Stack32
    Drug Toxicity / DMPK18
    ML-Ready Feature Engineering18
    Strengths
    xcms contributor + DIAMetAlyzer developer — core untargeted LC-MS pipeline tools
    RepoRT 2024 — retention time training data repo for untargeted LC-MS metabolomics
    Gaps
    Primarily R-based; Python (Pandas/NumPy/scikit-learn) proficiency unclear
    …click to see all
    MS

    Michał Startek

    low hireability
    53
    Mass Spec Data Processing92
    Scientific Python Stack80
    LC-MS/MS Workflows72
    Metabolomics & Lipidomics42
    ML-Ready Feature Engineering22
    Drug Toxicity / DMPK8
    Strengths
    OpenMS 3 co-author (Nature Methods 2024) — core contributor
    opentims: open-source Bruker timsTOF raw data library
    Gaps
    No metabolomics or lipidomics pipeline work (LC-MS/MS untargeted focus missing)
    …click to see all
    MW

    Ming Wang

    low hireability
    85
    LC-MS/MS Workflows97
    Mass Spec Data Processing93
    Metabolomics & Lipidomics90
    Scientific Python Stack86
    ML-Ready Feature Engineering74
    Drug Toxicity / DMPK72
    Strengths
    GNPS/GNPS2 — built the world standard LC-MS/MS metabolomics platform
    MassQL in Nature Methods 2025 — scalable mass spec query language
    Gaps
    Tenure-track assistant professor; just received NIH R01 Sep 2025 — low transition probability
    …click to see all
    RS

    Robin Schmid

    low hireability

    Co-Founder & Chief Scientific Officer@mzio GmbH

    Previously: Postdoctoral Researcher @ UC San Diego

    Bremen, DE

    79
    LC-MS/MS Workflows99
    Mass Spec Data Processing97
    Metabolomics & Lipidomics93
    Scientific Python Stack72
    ML-Ready Feature Engineering68
    Drug Toxicity / DMPK42
    Strengths
    5323 commits to mzmine/mzmine3 — #2 all-time contributor, core LC-MS/MS tool
    Co-Founder of mzio GmbH — cloud platform for computational MS
    Gaps
    Co-Founder & CSO at own company — strong competing commitment
    …click to see all
    RG

    Russell Greiner

    low hireability

    Professor, Artificial Intelligence Group@University of Alberta

    Previously: Researcher @ Siemens

    CA

    61
    ML-Ready Feature Engineering80
    Metabolomics & Lipidomics72
    Drug Toxicity / DMPK65
    Scientific Python Stack62
    Mass Spec Data Processing60
    LC-MS/MS Workflows25
    Strengths
    CFM-ID 4.0: web server for MS/MS metabolite identification (112 citations)
    BioTransformer 3.0/4.0: ADMET/CYP450 metabolic transformation prediction (154 citations)
    Gaps
    No evidence of hands-on LC-MS/MS pipeline work (MZmine, OpenMS, MS-DIAL, XCMS)
    …click to see all
    SG

    Samuel Goldman

    low hireability

    Associate@MPM BioImpact

    Previously: Postdoctoral Researcher @ MIT

    Boston, US

    57
    ML-Ready Feature Engineering90
    Scientific Python Stack75
    Mass Spec Data Processing65
    Metabolomics & Lipidomics62
    LC-MS/MS Workflows35
    Drug Toxicity / DMPK15
    Strengths
    MIST: formula transformers for MS/MS metabolite annotation (74 citations, 2023)
    ms-pred: 13 commits, core dev of ICEBERG/SCARF/MARASON spectral prediction
    Gaps
    No untargeted LC-MS/MS pipeline work (MZmine, OpenMS, MS-DIAL, XCMS)
    …click to see all
    SW

    Samuel Wieczorek

    low hireability
    33
    Mass Spec Data Processing78
    LC-MS/MS Workflows72
    Metabolomics & Lipidomics18
    ML-Ready Feature Engineering12
    Scientific Python Stack10
    Drug Toxicity / DMPK5
    Strengths
    DAPAR maintainer (Bioconductor, 10+ years) — LC-MS/MS proteomics pipeline
    ProStaR: normalization, imputation, differential abundance for label-free MS
    Gaps
    R-only stack — no Python/Pandas/scikit-learn evidence
    …click to see all
    SB

    Sebastian Böcker

    low hireability

    Head: Prof. Dr. Sebastian Böcker@Friedrich-Schiller-Universität Jena

    Jena, DE

    74
    Mass Spec Data Processing97
    Metabolomics & Lipidomics93
    LC-MS/MS Workflows90
    ML-Ready Feature Engineering78
    Scientific Python Stack55
    Drug Toxicity / DMPK28
    Strengths
    SIRIUS+CSI:FingerID: world-leading MS2 metabolite ID tool (1741+1182 citations)
    CANOPUS: systematic unknown metabolite classification from fragmentation MS
    Gaps
    Tenured Professor at FSU Jena — extremely unlikely to leave academia
    …click to see all
    SG

    Siegfried Gessulat

    low hireability
    53
    ML-Ready Feature Engineering85
    Mass Spec Data Processing80
    Scientific Python Stack70
    LC-MS/MS Workflows65
    Metabolomics & Lipidomics10
    Drug Toxicity / DMPK5
    Strengths
    Prosit (Nature Methods 2019) — first author, deep learning for MS2 spectra
    CHIMERYS — AI chimeric spectra deconvolution in production proteomics
    Gaps
    No metabolomics or lipidomics experience — proteomics-only domain
    …click to see all
    SH

    Soha Hassoun

    low hireability

    Professor@Tufts University

    Previously: Consultant @ Carbon Design Systems

    Medford, US

    69
    Metabolomics & Lipidomics82
    Mass Spec Data Processing75
    ML-Ready Feature Engineering75
    Scientific Python Stack70
    Drug Toxicity / DMPK58
    LC-MS/MS Workflows55
    Strengths
    JESTR (2025): untargeted metabolomics annotation via joint embedding
    MADGEN (2025): mass-spec for de novo molecular generation
    Gaps
    Tenured professor — extremely low probability of leaving academia
    …click to see all
    SH

    Steffen Heuckeroth

    low hireability
    65
    LC-MS/MS Workflows99
    Mass Spec Data Processing97
    Metabolomics & Lipidomics82
    Scientific Python Stack48
    Drug Toxicity / DMPK35
    ML-Ready Feature Engineering28
    Strengths
    5817 commits to mzmine/mzmine3 — #1 contributor, builds the tool itself
    Nature Protocols 2024: MZmine 3 reproducible workflows paper
    Gaps
    Co-founder at mzio GmbH — strong indicator of low openness to new roles
    …click to see all
    SN

    Steffen Neumann

    low hireability
    53
    LC-MS/MS Workflows97
    Mass Spec Data Processing95
    Metabolomics & Lipidomics82
    ML-Ready Feature Engineering20
    Scientific Python Stack18
    Drug Toxicity / DMPK8
    Strengths
    Maintainer of XCMS — gold standard LC-MS peak detection/alignment tool (223 GitHub stars)
    mzR author — parses mzML, mzXML, mzData, netCDF for all major MS vendors
    Gaps
    Primary stack is R/Bioconductor — no evidence of Python (Pandas, NumPy, scikit-learn)
    …click to see all
    TP

    Tomas Pluskal

    low hireability

    External Consultant@Novogaia

    Previously: External Consultant @ Ginkgo Bioworks

    Bremen, DE

    75
    LC-MS/MS Workflows100
    Mass Spec Data Processing98
    Metabolomics & Lipidomics95
    Scientific Python Stack55
    ML-Ready Feature Engineering55
    Drug Toxicity / DMPK45
    Strengths
    MZmine creator (4,417 citations) — tool explicitly named in job description
    GNPS molecular networking co-author (1,384 citations)
    Gaps
    Java/Kotlin-centric stack (MZmine) — Python data science not primary tool
    …click to see all
    TT

    Tsung-Heng Tsai

    low hireability
    58
    Mass Spec Data Processing90
    LC-MS/MS Workflows85
    Metabolomics & Lipidomics80
    Drug Toxicity / DMPK45
    ML-Ready Feature Engineering30
    Scientific Python Stack20
    Strengths
    MSstats core developer — gold-standard quantitative LC-MS proteomics tool
    Bayesian LC-MS alignment (alignLCMS) — retention time correction methodology
    Gaps
    Associate Professor at Kent State — tenured faculty, low recruitment probability
    …click to see all
    TM

    Tytus D. Mak

    low hireability

    Statistician@NIST

    Previously: Research Chemist @ NIST

    Gaithersburg, US

    64
    Mass Spec Data Processing90
    Metabolomics & Lipidomics87
    LC-MS/MS Workflows85
    ML-Ready Feature Engineering52
    Scientific Python Stack45
    Drug Toxicity / DMPK22
    Strengths
    MetaboLyzer: LC-MS metabolomics statistical workflow (111 citations, 2014)
    NIST Mass Spectrometry Data Center — spectral reference library authority
    Gaps
    No pharma/drug discovery or DMPK context — work is biomarker/radiation toxicology
    …click to see all
    VP

    Vlad Petyuk

    low hireability
    41
    Mass Spec Data Processing85
    LC-MS/MS Workflows80
    ML-Ready Feature Engineering25
    Scientific Python Stack20
    Metabolomics & Lipidomics20
    Drug Toxicity / DMPK15
    Strengths
    MSnID (Bioconductor) — MS/MS identification pipeline, widely used
    PlexedPiper — TMT isobaric tag quantitative proteomics pipeline
    Gaps
    R-centric tools (MSnID, PlexedPiper) — not Python/pandas stack
    …click to see all

    Runs

    #1completed0 qualified / 0 foundMay 7, 5:10 AM