Computational Scientist

About the position

The Computational Scientist at Sanofi will play a crucial role in advancing AI solutions within the healthcare sector. This position involves leveraging data insights and AI technologies to develop and implement machine learning methods that enhance biomedical and chemical data analysis. The role is designed for a dynamic data scientist who is eager to challenge the status quo and contribute to the digital transformation of Sanofi, ensuring impactful AI solutions for future patients.

Responsibilities

• Develop, implement, test and refine advanced ML methods for processing, analysis, modeling integration and visualization of large-scale biomedical and chemical data.
• Develop deep learning models for small molecule design.
• Apply data science expertise in machine learning, statistics, NLP, forecasting and optimization to multiple analytics projects.
• Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the-art machine learning technologies.
• Conduct ML experiments and deliver production-ready models.
• Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products.
• Collaborate with developers, engineers, and MLOps to deliver AI/ML solutions to product teams.

Requirements

• Bachelors or Advanced degree (MS/PhD) in computer science, machine learning, computational biology, computational chemistry, mathematics or a related quantitative discipline with strong coding skills.
• Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
• Expertise in supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series analysis, Bayesian statistics, optimization.
• Experience developing deployable code and deploying models in product-focused development under an agile environment.
• Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark).
• Experience in production-ready software development.
• Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
• A demonstrated ability to work and collaborate in a team environment.
• Strong interest in the use of ML methods in the life and medical sciences to improve patient lives.

Nice-to-haves

• Experience in life sciences and healthcare and experience in a complex global organization.
• Expertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL).
• Disciplined AI/ML development (CI/CD, Orchestration).
• Experience with various enterprise-level Application Programming Interfaces (APIs).

Benefits

• High-quality healthcare coverage
• Prevention and wellness programs
• At least 14 weeks' gender-neutral parental leave
• Opportunities for career growth and development
• Supportive work environment with a focus on diversity and inclusion