Freelancer profile translated to English.

Description

Data Analyst / Bioinformatician · R · Python · SQL · Health, Biotech & Research

Freelance Data Analyst & Bioinformatician, I transform complex data into actionable insights. With my dual expertise in life sciences and data science, I support companies in the health, research, or innovation sectors in analyzing, processing, and leveraging their data.

Specializing in transcriptomic data analysis (bulk, single-cell, spatial), I have worked within CNRS/INSERM teams on projects in translational medicine, neurodegenerative diseases, and oncology. I also have solid experience in quantitative ecology and applied machine learning.

Today, I help companies to:

• Clean, transform, and structure their data (R, Python, SQL, Nextflow)

• Build reproducible pipelines for omics or business data processing

• Perform statistical and exploratory analyses (EDA, modeling, clustering…)

• Develop interactive dashboards and visualization tools (Shiny, Streamlit)

• Produce scientific, business, or technical deliverables

Key Skills:

- **Languages**: R, Python, Bash, SQL

- **Analysis**: Seurat, Scanpy, SPOTlight, advanced stats, ML scikit-learn

- **Workflow**: Nextflow, Snakemake, Docker, Git

- **Dataviz**: ggplot2, seaborn, Shiny, Streamlit

- **Domains**: Biotech, genomics, health, academic research, ecology, industry

I offer:

• One-off missions or long-term support (time and materials or fixed price)

• 100% remote or hybrid service (based in Lyon / Bayonne)

• Documented, version-controlled, and rigorously delivered work

💬 Feel free to contact me to discuss your data and see how I can help you extract value from it!

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Lyon (up to 50km)

INMG/PGN, INSERM/CNRS
Bioinformatics Engineer
BIOTECH
July 2024 - Today (1 year and 11 months)
Lyon, France
Provided bioinformatics support and analysis for a multidisciplinary research team
focused on cerebellar ataxia and neurodegenerative disorders.
Analyzed multi-omics datasets including single-cell and single-nuclei RNA-seq, bulk
RNA-seq, CUT&RUN, ChIP-seq, and spatial transcriptomics.
Developed and optimized computational pipelines for data processing, quality control,
and integrative analysis of large-scale omics data.
Used Python, R, Bash and Java tools for data processing and visualization.Contacts
Worked in an English-speaking environment, contributing to projects and publications.
OMICS Python R Nextflow Biostatistics
Le Grand Research Team INMG/PGNM, CNRS,
Master's Bioinformatics Intern
BIOTECH
January 2024 - July 2024 (6 months)
7th Arr., Lyon, France
Conducted integrative analyses of multi-omics datasets on muscle samples including single-cell, single-nuclei, bulk RNA-seq, and spatial transcriptomics. Developed data processing workflows for high-throughput sequencing data and performed spatial gene expression analysis. Gained hands-on experience with state-of-the-art transcriptomic technologies and bioinformatics tools. Used Python, R, Bash tools for data processing and visualization. Worked primarily in English (oral and written reports).
omics Python Biostatistics R Nextflow
Guinet Research Team C.E.B.C, CNRS, Villiers-en-Bois,
Master's Ecology Intern
BIOTECH
January 2023 - July 2023 (6 months)
France
Investigated trophic level composition and behavior around the Kerguelen Islands using active acoustics in relation to water mass characteristics and diel cycles. Impacts on local foraging success of southern elephant seals. Managed and analyzed large datasets combining bio-logging (acoustics, accelerometer, telemetry...), applied statistical and machine learning methods. Used MATLAB, R, Python, and SIG tools for data processing and visualization. Worked primarily in English
R Biostatistics Matlab Data visualization Machine learning