Scientific Fellow, AI-Enabled Molecular Design
Sanofi
June 26, 2026
Remote friendly (Morristown, NJ)
United States
$232,500 - $335,833.33 USD yearly
Clinical Research and Development
Main Responsibilities:
- Serve as a senior individual contributor and scientific thought leader at the intersection of AI, computational science, and drug design; shape scientific strategy and apply scientific judgement to advance design/optimization of small and large molecule therapeutics across R&D.
- Lead how 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 advances and strategic opportunities in AI-enabled molecular design (biologics and small molecules).
- Define scientific strategies and practical tactics; assess emerging methods, platforms, partnerships, and innovations for scientific quality, strategic relevance, and impact across generative design, structure-based design, protein/antibody engineering, multi-parameter optimization, predictive property modeling, and design-make-test-learn workflows; provide internal expert consulting, mentoring, and thought partnership.
- Establish and maintain a national/international reputation through high-impact publications/patents, collaborations, invited talks, conferences, and other community contributions; bring connections to leading academic, biotech, technology, and pharma groups.
- Independently envision and deliver innovative solutions and meaningfully influence the direction/productivity of the field; exert 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 related field; minimum 7 years’ experience in academia, biotech, technology, or pharma.
- Strong track record in AI, computational tools, and molecular design for small and/or large molecule therapeutics; experience advising senior leaders, evaluating emerging capabilities, and translating technical advances into strategic R&D impact.
Benefits:
- Health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.
- Serve as a senior individual contributor and scientific thought leader at the intersection of AI, computational science, and drug design; shape scientific strategy and apply scientific judgement to advance design/optimization of small and large molecule therapeutics across R&D.
- Lead how 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 advances and strategic opportunities in AI-enabled molecular design (biologics and small molecules).
- Define scientific strategies and practical tactics; assess emerging methods, platforms, partnerships, and innovations for scientific quality, strategic relevance, and impact across generative design, structure-based design, protein/antibody engineering, multi-parameter optimization, predictive property modeling, and design-make-test-learn workflows; provide internal expert consulting, mentoring, and thought partnership.
- Establish and maintain a national/international reputation through high-impact publications/patents, collaborations, invited talks, conferences, and other community contributions; bring connections to leading academic, biotech, technology, and pharma groups.
- Independently envision and deliver innovative solutions and meaningfully influence the direction/productivity of the field; exert 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 related field; minimum 7 years’ experience in academia, biotech, technology, or pharma.
- Strong track record in AI, computational tools, and molecular design for small and/or large molecule therapeutics; experience advising senior leaders, evaluating emerging capabilities, and translating technical advances into strategic R&D impact.
Benefits:
- Health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.