Scientific Fellow, AI-Enabled CMC
Sanofi
June 27, 2026
Remote friendly (Cambridge, MA)
United States
$232,500 - $335,833.33 USD yearly
Operations
Main Responsibilities:
- Serve as a senior individual contributor and scientific thought leader at the intersection of AI, computational science, and Chemistry, Manufacturing and Controls (CMC), shaping scientific strategy and advancing CMC across development, scale-up, tech transfer, and Manufacturing Sciences.
- Provide expert leadership on how advanced digital, computational, and AI approaches can accelerate CMC development, improve process understanding and control, strengthen robustness and decision-making, and increase probability of success across the product lifecycle.
- Define AI-enabled CMC scientific strategies and practical tactics; assess emerging methods, platforms, partnerships, and innovations for scientific quality, relevance, and impact across process development, formulation, analytical sciences, process modeling, scale-up, tech transfer, manufacturing process monitoring, process robustness, and data-driven optimization.
- Collaborate across R&D CMC teams and partner with scale-up, tech transfer, and Manufacturing Sciences to enable advanced analytics, modeling, automation, and AI to improve speed, reliability, and knowledge transfer.
- Maintain strong external visibility and influence as a recognized thought leader (publications, patents, collaborations, invited talks, conferences) and build connections across academic, biotech, technology, pharma, and manufacturing communities.
- Deliver innovative scientific/technological solutions and influence the direction and productivity of the field without direct line management.
About You (Qualifications):
- Ph.D. in chemical engineering, pharmaceutical sciences, chemistry, biochemistry, bioengineering, computational science, data science, machine learning, or related field, plus at least 7 years’ experience in academia, biotech, technology, pharma, or a manufacturing-focused environment.
- Strong track record in AI, computational tools, and CMC-related innovation; demonstrated success advising senior leaders and translating technical advances into strategic R&D and manufacturing impact.
Benefits (as stated):
- 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 Chemistry, Manufacturing and Controls (CMC), shaping scientific strategy and advancing CMC across development, scale-up, tech transfer, and Manufacturing Sciences.
- Provide expert leadership on how advanced digital, computational, and AI approaches can accelerate CMC development, improve process understanding and control, strengthen robustness and decision-making, and increase probability of success across the product lifecycle.
- Define AI-enabled CMC scientific strategies and practical tactics; assess emerging methods, platforms, partnerships, and innovations for scientific quality, relevance, and impact across process development, formulation, analytical sciences, process modeling, scale-up, tech transfer, manufacturing process monitoring, process robustness, and data-driven optimization.
- Collaborate across R&D CMC teams and partner with scale-up, tech transfer, and Manufacturing Sciences to enable advanced analytics, modeling, automation, and AI to improve speed, reliability, and knowledge transfer.
- Maintain strong external visibility and influence as a recognized thought leader (publications, patents, collaborations, invited talks, conferences) and build connections across academic, biotech, technology, pharma, and manufacturing communities.
- Deliver innovative scientific/technological solutions and influence the direction and productivity of the field without direct line management.
About You (Qualifications):
- Ph.D. in chemical engineering, pharmaceutical sciences, chemistry, biochemistry, bioengineering, computational science, data science, machine learning, or related field, plus at least 7 years’ experience in academia, biotech, technology, pharma, or a manufacturing-focused environment.
- Strong track record in AI, computational tools, and CMC-related innovation; demonstrated success advising senior leaders and translating technical advances into strategic R&D and manufacturing impact.
Benefits (as stated):
- Health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.