Sanofi is looking to accelerate drug discovery and development in oncology, ophthalmology, immunology, inflammation, and neurodegenerative diseases by streamlining and enhancing the process through data science and artificial intelligence.
Requirements
- Proficiency in analyzing and manipulating data with Python/R.
- Ability to write clean, readable, and scalable code.
- Experience with knowledge graphs, graph machine learning, and other AI/ML approaches
- Experience with MLOps (snowflake, huggingface, weight and biases)
Responsibilities
- Develop innovative ML/AI computational approaches and adopt existing state-of-the-art ideas to streamline transition to early development, as well as facilitate both the discovery of novel targets and drug repositioning.
- Contribute to the on-going programs with developed stack of tools/approaches and deliver customized study-specific analysis.
- Lead in silico projects in collaboration with scientific teams and champion projects at different stages of discovery and clinical development.
- Contribute to publications, research and clinical/regulatory documentation.
- Develop and benchmark predictive algorithms to help generate actionable hypotheses.
- Work closely with computational scientists and biologists in a highly collaborative environment.
Other
- PhD in bioinformatics, computer science, computational biology, physics or another related quantitative field with 1-3 years of experience preferred in an academic environment or the private sector (biopharma preferably).
- Strong interest in learning biology and liaising with scientists from multiple therapeutic areas to help define and address biological questions with computational approaches.
- Understanding of basic biological concepts and ability to communicate with non-computational audience.
- Excellent written and oral communication skills.
- Excellent interpersonal skills and strong team player attitude.
