Jobs · Engineering · New Jersey

Scientific Fellow, AI-Enabled Molecular Design

Sanofi · Morristown, NJ · 2 wk ago
On-siteEngineeringFull-time

About the role

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.

Main Responsibilities

  • 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.
  • 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.
  • 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.
  • Define scientific strategies and practical tactics that support company ambitions in AI-enabled molecular design, including 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.
  • 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.

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.
  • Demonstrated success advising senior leaders, evaluating emerging scientific capabilities, and translating technical advances into strategic R&D impact.

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