Antoine Lucas
Biostatistician & Data Scientist · Clinical R&D, DoE, mixed models
Pharma · Cosmetics · Biotech · Paris, France
Biostatistician and data scientist with 5+ years in clinical, cosmetic, and microbiome R&D. Statistical analysis plans, blind review, design of experiments, mixed models, and multivariate or multi-omics methods in R, with the software engineering to deliver them reproducibly (Git, tests, CI/CD, containers).
Experience
Sep 2025 – present
- Delivered statistical modelling and machine learning for fragrance and cosmetics R&D, from exploratory analysis and model validation to deployment in researcher-facing tools.
- Designed and deployed object-segmentation models for cosmetics formulation and regulatory R&D.
- Maintain 20+ R Shiny applications in daily use by researchers, covering clinical data visualisation and formulation automation.
May – Sep 2025
- Led internal training on Bayesian statistics with R: modelling workflow, prior specification, and interpretation of results.
- Built reusable internal R packages and Quarto statistical reporting templates used across missions.
- Contributed statistical programming and review of planned analyses on internal biostatistics projects.
Dec 2024 – May 2025
- Analysed large-scale multi-omics data (genomics, transcriptomics, metabolomics) end-to-end in R and Python, from quality control to biological interpretation.
- Contributed statistical design and analysis strategy in partner-facing discussions with agri-food companies.
- Sole data scientist in an 8-person startup team, delivering analyses and pipelines for a SaaS product.
Jul 2023 – Nov 2024
- Built simulation and forecasting models in R and Python to predict manufacturing plant resource capacity across global sites, informing drug production planning.
- Owned delivery end-to-end as sole developer and Scrum Master — requirements, methodology, validation, workshops, UAT, handover.
Nov 2021 – Jul 2023
- Wrote statistical analysis plans and analysis methodologies for proof-of-concept clinical studies, programmed the analyses in R, and delivered reports for more than 100 studies.
- Supported blind-review meetings and clinical study reporting in a regulated R&D environment.
- Characterised clinical phenotypes with multi-block, multivariate, and variable-selection approaches on exposome, biophysical, omics, and microbiome data.
Earlier experience
Feb 2021 – Aug 2021
Personalised hair-recommendation models built from customer data.
Feb 2020 – Aug 2020
Data management and non-parametric analysis of gut-microbiome clinical studies.
Sep 2019 – Jan 2020
Wearables and digital-health studies in R, from questionnaire design to results.
Education
2021
2021
Technical Skills
Certifications
GitHub Foundations — GitHub (2024)
Scrum Master — Agilbee (2023)
Languages
French (native)
English (fluent, professional)