Build Pierre Fabre’s in silico Competitive Intelligence (CI) capabilities and scale advanced analytics for Clinical Operations (ClinOps)
Job Summary
Build Pierre Fabre’s in silico Competitive Intelligence (CI) capabilities and scale advanced analytics for Clinical Operations (ClinOps).
Design and deploy advanced analytics solutions for competitive intelligence landscape analyses and build scalable CI tools to support strategic decision-making.
We offer an attractive remuneration/benefits package including incentives, profit-sharing, shareholding, insurance, and generous holidays.
Matching Summary
Build Pierre Fabre’s in silico Competitive Intelligence (CI) capabilities and scale advanced analytics for Clinical Operations (ClinOps).
Skills & Requirements
Must-have
LLM-based systems
agentic AI systems
NLP solutions
Retrieval-Augmented Generation (RAG)
Python proficiency
cloud-based environments
Nice-to-have
strong analytical thinking
intellectual curiosity
innovation mindset
cross-functional collaboration
Key Requirements
4-5 years of experience in applied Data Science
Master’s or PhD degree
Prior exposure to pharma, biotech, or life sciences required