Scientific Fellow, AI-Enabled CMC

Sanofi•Morristown, MA

1d•Onsite

About The Position

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.

Requirements

Ph.D. in chemical engineering, pharmaceutical sciences, chemistry, biochemistry, bioengineering, computational science, data science, machine learning, or a related scientific discipline.
Minimum of 7 years of experience in academia, biotech, technology, pharma, or a manufacturing-focused environment.
Strong track record in AI, computational tools, and CMC-related scientific innovation.
Demonstrated success advising senior leaders, evaluating emerging scientific capabilities, and translating technical advances into strategic R&D and manufacturing impact.

Responsibilities

Shape scientific strategy, evaluate internal and external capabilities, and apply deep scientific judgement to advance 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.
Advise senior leaders and corporate management on emerging scientific and technological advances, strategic opportunities, and differentiated approaches in AI-enabled CMC spanning both small and large molecule modalities where relevant.
Help define scientific strategies and practical tactics that support company ambitions in AI-enabled CMC.
Assess emerging methods, platforms, partnerships, and external innovations for scientific quality, strategic relevance, and potential impact across areas such as process development, formulation, analytical sciences, process modeling, scale-up, tech transfer, manufacturing process monitoring, process robustness, and data-driven process optimization.
Work at the interface of R&D CMC teams and partner closely with scale-up, tech transfer, and Manufacturing Sciences organizations to help identify opportunities where advanced analytics, modeling, automation, and AI can improve speed, reliability, and knowledge transfer across development and manufacturing.
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.
Bring strong connections to leading academic, biotech, technology, pharmaceutical, and manufacturing-focused groups working at the forefront of AI, process science, digital CMC, and advanced computational methods.
Envision and deliver innovative scientific or technological solutions with a high degree of creativity, and meaningfully influence the direction and productivity of their field within R&D.
Operate as a highly independent senior scientific leader without direct line management responsibility, while exerting broad influence across a matrixed organization.