AI-Driven Data Scientist for Biopharma R&D

Sanofi EU; Paris; Sur place; EUR 50 000 - 80 000; Plein temps

Résumé du poste

A leading biopharmaceutical company in Paris seeks a Data Scientist specializing in AI and machine learning. The candidate will work on developing and optimizing AI solutions to enhance healthcare outcomes. Responsibilities include translating business needs into data models, collaborating with various teams, and leveraging advanced technologies to deliver impactful data products. Ideal candidates have extensive experience in data science and a strong background in machine learning, with the ability to thrive in a dynamic, cross-functional environment.

Prestations

Health and wellbeing benefits

Parental leave

Collaborative work environment

Opportunities for career growth

Qualifications

• Proven experience in developing deployable code and models under agile methodology.
• Experience with machine learning and deep learning to solve health-related issues.
• Familiarity with content generation using Large Language Models is desired.

Responsabilités

• Translate business requirements into technical needs.
• Develop AI-based data products using state-of-the-art machine learning technologies.
• Collaborate with cross-functional teams to deliver AI/ML solutions.

Connaissances

Machine learning

Statistics

Optimization

Data analysis

Communication skills

Formation

PhD in relevant quantitative discipline

Master's Degree in relevant domain

Outils

Large Language Models (LLM)

Python

NLP frameworks

Description du poste

A leading biopharmaceutical company in Paris seeks a Data Scientist specializing in AI and machine learning. The candidate will work on developing and optimizing AI solutions to enhance healthcare outcomes. Responsibilities include translating business needs into data models, collaborating with various teams, and leveraging advanced technologies to deliver impactful data products. Ideal candidates have extensive experience in data science and a strong background in machine learning, with the ability to thrive in a dynamic, cross-functional environment.