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Scientific Fellow, AI-Enabled Molecular Design

Job in Somerville, Middlesex County, Massachusetts, 02145, USA
Listing for: Sanofi
Full Time position
Listed on 2026-05-20
Job specializations:
  • Research/Development
    Research Scientist, Biotechnology, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Title: Scientific Fellow, AI-Enabled Molecular Design

Reports to: Global Head of Computational & AI Strategy, R&D

Location: Cambridge, MA / Morristown, NJ

About the Job

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities
  • The Scientific Fellow, AI-Enabled Molecular Design, is a senior individual contributor and scientific thought leader at the intersection of AI, computational science, and drug design. This role will shape scientific strategy, evaluate internal and external capabilities, and apply deep scientific judgement to advance the design and optimization of both small and large molecule therapeutics across R&D.
  • The individual will provide expert leadership on how advanced digital, computational, and AI approaches can accelerate molecular design, improve design quality and decision-making, and increase probability of success. Working across research programs and R&D-wide initiatives, this person will advise senior leaders and corporate management on emerging scientific and technological advances, strategic opportunities, and differentiated approaches in AI-enabled molecular design spanning both biologics and small molecules.
  • A core expectation of the role is to help define scientific strategies and practical tactics that support company ambitions in AI-enabled molecular design. This includes assessing emerging methods, platforms, partnerships, and external innovations for scientific quality, strategic relevance, and potential impact across areas such as generative design, structure-based design, protein and antibody engineering, multi-parameter optimization, predictive property modeling, and design-make-test-learn workflows.

    The Scientific Fellow will also serve as a highly sought-after internal expert consultant, contributing deep scientific judgement, thought partnership, and mentoring across R&D where relevant to their area of expertise.
  • This role requires a recognized leader with strong external visibility and influence. The Scientific Fellow must establish and maintain a national and international reputation as a thought leader through high-impact publications, patents, productive scientific collaborations, invited speaking engagements, conference participation, and other visible contributions to the scientific community. They must be recognized externally as an expert in the field and bring strong connections to leading academic, biotech, technology, and pharmaceutical groups working at the forefront of AI, computational chemistry, computational biology, and molecular design.
  • The successful candidate will have a proven record of envisioning and delivering innovative scientific or technological solutions with a high degree of creativity, and of meaningfully influencing the direction and productivity of their field within R&D. They must be capable of operating as a highly independent senior scientific leader without direct line management responsibility, while exerting broad influence across a matrixed organization.
Qualifications
  • Ph.D. in computational chemistry, medicinal chemistry, computational biology, structural biology, biophysics, machine learning, biomedical data science, or a related scientific discipline, with a minimum of 7 years of experience in academia, biotech, technology, or pharma.
  • Candidates must have a strong track record in AI, computational tools, and molecular design for small and/or large molecule therapeutics, along with demonstrated success advising senior leaders, evaluating emerging scientific capabilities, and translating technical advances into strategic R&D impact.
Why Choose Us
  • Bring the miracles of science to life alongside a…
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