Sanofi
Biopharma
ScientificFellow,AI-EnabledCMC
Neural analysis suggests this role is
optimal for Senior candidates.
“Scientific Fellow, AI-Enabled CMC at Sanofi. Skills: AI-Enabled CMC, Computational science, Process science, Digital CMC. Shape scientific strategy. Evaluate internal capabilities”
What You'll Achieve.
Deliver compelling growth; Turn the impossible into possible
Industry & Context.
Decision-making
What They're Looking For.
Must Have
Ph. D. in related scientific discipline, Minimum 7 years of experience, Track record in AI, Track record in computational tools, Track record in CMC-related scientific innovation, Demonstrated success advising senior leaders, Demonstrated success evaluating emerging scientific capabilities, Demonstrated success translating technical advances into strategic impact
Nice to Have
External visibility and influence, National and international reputation, Connections to leading academic groups, Connections to leading biotech groups, Connections to leading technology groups, Connections to leading pharmaceutical groups, Connections to leading manufacturing groups
What You'll Do.
Shape scientific strategy
Evaluate internal capabilities
Evaluate external capabilities
Apply deep scientific judgement
Advance CMC across development
Advance CMC across scale-up
Advance CMC across tech transfer
Advance CMC across Manufacturing Sciences
Provide expert leadership
Accelerate CMC development
Improve process understanding
Improve process control
Strengthen process robustness
Strengthen decision-making
Increase probability of success
Advise senior leaders
Advise corporate management
Define scientific strategies
Define practical tactics
Assess emerging methods
Assess emerging platforms
Assess emerging partnerships
Assess external innovations
Identify opportunities
Improve knowledge transfer
Contribute to scientific community
Envision scientific solutions
Deliver scientific solutions
Envision technological solutions
Deliver technological solutions
Influence direction of field
Influence productivity of field
Operate as independent leader
Exert broad influence
How You'll Work.
Team & Collaboration
R&D CMC teams; Scale-up organizations; Tech transfer organizations; Manufacturing Sciences organizations
Communication Scope
Invited speaking engagements; Conference participation
Full Job Description
# **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. # **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. **Main Responsibilities:** * The Scientific Fellow, AI-Enabled CMC, is a senior individual contributor and scientific thought leader at the intersection of AI, computational science, and Chemistry, Manufacturing and Controls. This role will 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. * The individual will 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. 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 CMC spanning both small and large molecule modalities where relevant. * A core expectation of the role is to help define scientific strategies and practical tactics that support company ambitions in AI-enabled CMC. This includes assessing emerging methods, platforms, partnerships, and external innovations for scientific quality, strategic relevance, and potential impact across areas such as process development, formulation, a
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