Computational Scientist

at  Sanofi

COMPUTATIONAL SCIENTIST

• Location: Cambridge, UK
• Alternative locations: Frankfurt am Main, GE or Ghent, BE
• Hybrid Work - 60% office based, 40% remote

• Apply and develop artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, machine learning, deep learning) on pharma research data sets (e.g. activity, function, ADME properties, physico-chemical properties, etc.).
• Building models from internal and external data sources, and performance evaluation by writing code and using state-of-the art machine learning technologies.
• Close interactions with other Computational scientists, data engineers, software engineers, UX designers, as well as research scientists in core scientific platforms focusing on protein therapeutics, in an international context.
• Update and report relevant results to interdisciplinary project teams and stakeholders.
• Maintain a keen awareness of recent developments in data science and bioinformatics and state-of-the-art of AI/ML/DL algorithms and research results
• Active engagement in evaluation and coordination of both academic and startup collaborations as well as outsourcing partners.