Data Scientist

Pierre Fabre is the 2nd largest dermo-cosmetics laboratory in the world, the 2nd largest private French pharmaceutical group and the market leader in France for products sold over the counter in pharmacies.

Its portfolio includes several medical franchises and international brands including Pierre Fabre Oncologie, Pierre Fabre Dermatologie, Eau Thermale Avène, Klorane, Ducray, René Furterer, A-Derma, Naturactive, Pierre Fabre Oral Care. 

Established in the Occitanie region since its creation, and manufacturing over 95% of its products in France, the Group employs some 10,000 people worldwide. Its products are distributed in about 130 countries. 86% of the Pierre Fabre Group is held by the Pierre Fabre Foundation, a government-recognized public-interest foundation, while a smaller share is owned by its employees via an employee stock ownership plan. 

In 2019, Ecocert Environment assessed the Group’s corporate social and environmental responsibility approach in accordance with the ISO 26000 sustainable development standard and awarded it the “Excellence” level.

Pierre Fabre is recognized as one of the "World's Best Employers 2021" by Forbes. Our group is ranked in the Top 3 in the cosmetics industry and in the Top 10 in the pharmaceutical industry worldwide. 

Your mission

The location of the position will be Toulouse (Oncopole, 31) or Boulogne (92) with high flexibility in terms of commuting from France/Europe and home office.

We are seeking a talented and highly motivated Data Scientist to join our growing Data Science and Biometry group.

The ideal candidate will focus on omics data analysis to support target identification and evaluation, as well as drug discovery activities, specifically within our expanding oncology early portfolio.

The Pierre Fabre Group is dedicated to Medical Care R&D, aiming to provide innovative treatments for patients. Oncology is a major priority and constitutes a strategic focus for the Pierre Fabre Group.

Our internal R&D pipeline, supplemented with future external opportunities, will be central in shaping the future orientation of Pierre Fabre Medical Care.

Your responsibilities include, but are not limited to:

• Perform comprehensive analyses of RNAseq and scRNAseq internal and external data to identify and evaluate potential drug targets in oncology.
• Collaborate with drug discovery teams to integrate omics data insights into the development of new cancer therapies.
• Integrate multi-omics datasets to provide a holistic view of cancer biology and identify novel therapeutic opportunities.
• Develop and maintain data analysis pipelines for high-throughput omics data.
• Keep abreast of the latest developments in omics technologies and oncology research to ensure the team remains at the cutting edge.

Who are you?

• Advanced degree (MSc or PhD) in Bioinformatics, Computational Biology, Data Science, or a related discipline.
• 3+ years of experience in omics data analysis, with a focus on RNAseq and scRNAseq in oncology. Experience with epigenomics data is a plus.

• Proficiency in Python and R programming languages, with experience in bioinformatics tools and packages. Experience conveying scientific results through both static and interactive reports and visualizations (e.g., RShiny and others).

• Skilled in scripting within Unix/Linux environments and proficient in using command-line interfaces with high-performance computational clusters. Committed to good coding practices and adept at writing reproducible scripts within version control systems (e.g., Git).
• Strong understanding of cancer biology and the molecular mechanisms underlying oncogenesis.
• Excellent English written and oral, presentation, and communication skills. Ability to communicate clearly with both technical and non-technical stakeholders.
• Proven ability to work in interdisciplinary teams and contribute to collaborative research projects.

We are convinced that diversity is a source of fulfillment, social balance and complementarity for our employees, which is why our offers are open to all, without restriction.