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Sanofi

Global pharma company; vaccines and R&D

Senior Principal Data Scientist - Agentic AI

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeWaltham, MA, USA$148.5k - $214.5kIn-person

About the Job

Requirements

  • A Master's degree in Computational Biology, Bioinformatics, Structural Biology, Computer Science, or a closely related quantitative discipline, plus at least 5 years of experience in drug development, molecular design, computational biology, or a related quantitative field in pharmaceutical, biotech, or technology environments; or a PhD in one of those disciplines, plus at least 3 years of such experience.
  • At least 3 years of demonstrated scientific contribution or research and development work.

Responsibilities

  • Define and execute the Vaccines R&D agentic AI strategy, implementing and leading adoption of agentic AI workflows across bioinformatics, nucleic acid design, protein AI models, and viral strain surveillance.
  • Champion development and deployment of AI and machine learning methods, including autonomous AI agents, multi-step reasoning systems, and large language model workflows, using enterprise AI infrastructure to accelerate computational design processes.
  • Drive cross-functional collaboration with Research and Development, Digital, CMC, and Clinical teams so computational design outputs are actionable, integrated, and aligned with downstream development needs.
  • Establish and enforce best practices for code generation, software engineering, data governance, model validation, and reproducibility across computational workflows.
  • Explore autonomous workflows for scientific computing, data analysis, and application development, and build internal capabilities that can be industrialized and scaled across Research, CMC, Translational, and Clinical contexts.
  • Build a community of agentic AI experts to implement best practices across the broader DCS organization and mentor scientists in adopting AI-assisted workflows for their research and development activities.

Desired Qualifications

  • Deep expertise in at least two of bioinformatics and genomics, nucleic acid sequence design, and protein structure prediction and design.
  • Experience developing, productionizing, and deploying AI and machine learning models applied to molecular property prediction.
  • Experience with autonomous AI systems, large language models, or AI agents applied to scientific research or drug discovery workflows.
  • Fluency in scientific computing with Python and R, and familiarity with cloud-based computational infrastructure such as AWS, Azure, or GCP.
  • French language skills.
  • Postdoctoral training.
  • Strategic thinking and business acumen, including the ability to translate scientific vision into executable roadmaps and communicate priorities to stakeholders.
  • Cross-functional collaboration experience at the interface of Research and Development, Digital, and CMC functions.
  • Communication, presentation, and scientific writing skills, including the ability to explain complex computational concepts to diverse audiences, including non-technical executives.

About the Company

Sanofi

Global pharma company; vaccines and R&D

Sanofi is a global pharmaceutical and biotechnology company that develops, manufactures, and sells prescription medicines, over-the-counter products, and vaccines. Its products span immunology, oncology, rare diseases, and vaccines, addressing unmet medical needs through a strong focus on research and development. Sanofi's core product model relies on large-scale R&D, strategic partnerships, and licensing to bring new therapies to markets, with revenue generated from product sales and collaborations. The company differentiates itself by leveraging its global reach, diverse portfolio, and emphasis on patient-centric solutions, safety, and quality to navigate regulatory environments in developed and emerging markets. The company’s goal is to improve health outcomes and quality of life for people worldwide by delivering innovative treatments and vaccines that meet unmet medical needs.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1973

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