Senior Data Scientist – Multi‑omics AI & Target Identification - CDI

INSTITUT DE RECHERCHE PIERRE FABRE SAS; Pechbusque; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Incentives

Profit-sharing

Employee stock ownership

Health and provident insurance

16 RTT

25 days personal holidays

Public transport participation

Résumé du poste

Pierre Fabre Laboratories is seeking a Senior Data Scientist for Multi-Omics AI & Target Identification in Toulouse. The role focuses on integrating high‑dimensional data (genomics, transcriptomics, proteomics) to identify targets and inform translational research and precision medicine strategies.

You will design AI systems that learn from omics data, collaborate with biology and drug discovery teams, and scale training in HPC/cloud environments. English communication is essential.

Qualifications

• PhD or Master’s in Data Science, Computational Biology, or related field.
• 5+ years of data science experience in life sciences with multi-omics analysis.
• Hands-on experience with ML/DL models.

Responsabilités

• Develop and apply ML/DL models to integrate multi-omics data for target identification.
• Identify molecular mechanisms, pathways, and vulnerabilities across cancer indications.
• Support downstream assessments including target discovery, toxicity prediction, and patient stratification.
• Design and train advanced models using representation learning and domain adaptation.
• Apply transformer-based architectures to biological/omics data.
• Ensure robust, reproducible, interpretable modeling practices.

Connaissances

Python

PyTorch

Transformers

Representation learning

Self-supervised learning

Domain adaptation

HPC/Cloud

Bioinformatics

Cancer biology

Pathway-level reasoning

English communication

Formation

PhD or Master’s degree in Data Science, Computational Biology, or related field

Description du poste

Overview

Pierre Fabre Laboratories is a global leader combining pharmaceutical expertise with dermo-cosmetics to support consumers and patients. We work with brands such as Eau Thermale Avène, Ducray, A-Derma, Klorane, René Furterer, and Pierre Fabre Oral Care. We operate in 120 countries with over 10,000 employees, pursuing excellence and innovation as part of the "We Care Movement".

Role

Senior Data Scientist - Multi‑Omics AI & Target Identification (Toulouse, Oncopole-Langlade) with strong expertise in multi‑omics analysis, machine learning, and AI for biological data. You will accelerate target identification, translational research, and precision medicine strategies. You will design and develop AI systems that learn from high‑dimensional data (genomics, transcriptomics, proteomics, functional screens) to deepen disease understanding, uncover pathway-level mechanisms, and reveal cancer vulnerabilities across indications. This role sits at the interface of AI research, computational biology, and drug discovery, within the Methods & Innovation team in the Data Science & Biometry Department.

Key Responsibilities

• Develop and apply machine learning and deep learning models to integrate multi‑omics data for target identification and prioritization.
• Contribute to biological and disease understanding by identifying molecular mechanisms, pathways, and vulnerabilities across cancer indications.
• Support downstream assessments including target discovery, toxicity prediction, and patient stratification.
• Design and train advanced models leveraging representation learning, self‑supervised learning, and domain adaptation.
• Apply and adapt transformer‑based architectures to biological and omics data.
• Ensure robust, reproducible, interpretable, and scientifically valid modeling practices.
• Work with HPC and/or cloud environments to scale model training and experimentation.
• Collaborate with biologists, translational scientists, and drug discovery teams to translate questions into AI‑driven solutions.
• Contribute to shared AI frameworks and reusable methodological components across R&D.
• This position is based in Toulouse with flexibility for remote work.

Qualifications

Education: PhD or Master’s degree in Data Science, Computational Biology, or a related field.

Experience: 5+ years of data science experience in life sciences; demonstrated multi‑omics data analysis for target discovery or translational research; hands‑on experience in ML/DL models.

Technical Skills: Proficiency in Python; experience with PyTorch; knowledge of transformers, representation learning, self‑supervised learning, and domain adaptation; familiarity with HPC and/or cloud environments; strong grounding in bioinformatics, cancer biology, and pathway‑level reasoning.

Soft Skills: Analytical and structured thinking; ability to translate scientific challenges into AI solutions; strong cross‑functional collaboration; high intellectual curiosity; professional proficiency in English (written and spoken).

Benefits & Work Arrangements

We offer an attractive remuneration/benefits package including incentives, profit‑sharing, shareholding with matching contributions, health and provident insurance, 16 days RTT plus 25 days of personal holidays, and public transport participation.

Equal Opportunity

We are committed to Equal Employment Opportunity and discourage discrimination based on race, color, religion, creed, national origin, sex, sexual orientation, gender identity or expression, age, disability, veteran status, genetic information, or any other legally protected basis. We collect information to determine suitability for employment, verify identity, and maintain statistics. Applicants with disabilities may be entitled to reasonable accommodations.

Company note

Pierre Fabre Laboratories is a leading dermo‑cosmetics and pharmaceutical company with international brands and a focus on humane, innovative care. This description reflects the role and its requirements without changing the underlying information.