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Sanofi Group Theoretical Machine Learning Senior Scientist, Vaccines in Cambridge, Massachusetts

Position Overview:

The Scientific Digital Innovation (SDI) group is working to develop and deploy state-of-the-art digital strategies/tools to meet Sanofi Pasteur's mission to become the disruptive market leader in vaccines. The SDI group seeks entrepreneurial and forward-thinking individuals to help drive Artificial Intelligence (AI) / Machine Learning (ML) / Deep Learning (DL) solutions to create value, improve efficiency and quality across the research and development pipeline.

Key Responsibilities:

  • S/he will be responsible for applying their high level of expertise in the mathematics and theoretical underpinnings of machine learning to propose solutions to diverse scientific challenges in vaccinology. These models will range over a large spectrum of learning problems, such as overcoming covariate shift in biological data, and active acquisition of data (including under delayed rewards in reinforcement learning settings). The models will be applied across our vaccine pipeline, from early stage pre-clinical research through to clinical trials, to provide insight and generate testable hypotheses. In all cases the goal is to build robust intellectual frameworks with practical and immediate impact.

  • S/he has an advanced mastery of numerical methods in both theory and practice, backed-up by hands-on experience covering advanced algorithms, modeling and simulation, as well as essential scientific programming skills (e.g. Python/R).

  • S/he is expected to have quality formal training in machine learning and experience in industrial settings. At minimum, undergraduate training focused on machine learning, applied math, computational sciences, etc. from a top-tier program and industrial internships will be considered; graduate applicants with less industrial experience and from wider programs will also be considered. S/he will be ready to hit the ground running in a fast-paced environment that rewards personal initiative, collaboration, and scientific excellence.

Basic Qualifications:

  • Undergraduate or higher degree in computational sciences, machine learning, or other technical fields with strong expertise in mathematical modelling and applying quantitative analyses.

  • Deep expertise in causal inference and counterfactual thinking/analysis, ML (deep learning, embeddings, reinforcement and transfer learning) and algorithmic analysis of data.

  • Strong experience proposing, prototyping and deploying novel algorithms, developing and validating new models.

  • A creative problem solver, skilled in divergent thinking and turning complex and noisy data into actionable insights and knowledge.

  • Ability to process multiple and heterogenous inputs to develop a clear understanding of a problem, issue or potential solution and translate them into practical business opportunities.

  • Ability to navigate ambiguity and interact effectively with unconventional people and ideas. Work with partners across the organization to turn data into critical information and knowledge for improved process understanding to facilitate data driven decision making.

  • Excellent analytical and problem solving as well as communication, scientific writing and presentation skills. Ability to develop and present results as visually appealing and understandable stories based on the data.

  • Understanding of drug/vaccine discovery and development processes is a plus, as well as familiarity with large, real world (biomedical) data sets.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.



At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.