Senior Data Scientist – Multiomics AI & Target Identification CDI

Toulouse - France

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Who we are

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 10000 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 Groups 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 Worlds 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

We are seeking in Toulouse (Oncopole- Langlade Location) a talented and highly motivated Senior Data Scientist - MultiOmics AI & Target Identification with strong expertise in multiomics analysis machine learning and AI for biological data to accelerate target identification translational research and precision medicine strategies.

As a key member of the Data Science & Biometry Department within Pierre Fabre R&D Medical Care you will design and develop AI systems capable of learning from highdimensional biological data (genomics transcriptomics proteomics functional screens) to deepen disease understanding uncover pathwaylevel mechanisms and reveal cancer vulnerabilities across indications.

This role sits at the interface of AI research computational biology and drug discovery and is embedded within the Methods & Innovation team responsible for crossfunctional initiatives involving advanced AI methodologies.

Your role within a pioneering company in full expansion:

Key Responsibilities

Develop and apply machine learning and deep learning models to integrate multiomics data for target identification and prioritization.
Contribute to biological and disease understanding by identifying molecular mechanisms pathways and vulnerabilities across cancer indications.
Support diverse downstream assessments including target discovery toxicity prediction and patient stratification.

Design and train advanced models leveraging representation learning selfsupervised learning and domain adaptation.
Apply and adapt transformerbased architectures to biological and omics data.

Ensure strong standards for model robustness reproducibility interpretability and scientific validity.
Work with HPC and/or cloud environments to scale model training and experimentation.
Collaborate closely with biologists translational scientists and drug discovery teams to translate biological questions and hypotheses into AIdriven solutions.
Contribute to shared AI frameworks and reusable methodological components across R&D.

This position is compatible with teleworking up to 2 days a week according to company rules.

We offer an attractive remuneration/benefits package: Incentives profit-sharing Pierre Fabre shareholding with matching contribution health and provident insurance 16 days of holidays (RTT) in addition to 25 days of personal holidays public transport participation.

Who you are

Your skills at the service of innovative projects:

Education

PhD or Masters degree in Data Science Computational Biology or a related field.

Experience

5 years of experience in data science applied to life sciences.
Demonstrated experience in multiomics data analysis for target discovery or translational research.
Handson experience developing machine learning and deep learning models.

Technical Skills

Strong proficiency in Python.
Experience with deep learning frameworks (e.g. PyTorch).
Solid knowledge of modern ML approaches including transformers representation learning selfsupervised learning and domain adaptation.
Familiarity with HPC and/or cloud computing environments.
Strong grounding in bioinformatics cancer biology and pathway-level reasoning.

Soft Skills & Mindset

Strong analytical and structured thinking.
Ability to translate biological scientific and strategic challenges into effective AI solutions.
Excellent crossfunctional collaboration skills.
High intellectual curiosity and innovation mindset.
Professional proficiency in English (written and oral).

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.

Required Experience:

Senior IC

Who we are 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...