Sanofi
Biopharma
ScientificFellow,AI-EnabledTargetIdentification&Credentialing
Neural analysis suggests this role is
optimal for Senior candidates.
“Scientific Fellow, AI-Enabled Target Identification & Credentialing at Sanofi. Skills: AI-Enabled Target Identification, Target Credentialing, Computational Biology, Scientific Strategy. Shape scientific strategy. Evaluate internal capabilities”
Industry & Context.
What They're Looking For.
Must Have
Ph.D. in computational biology, systems biology, bioinformatics, genetics, machine learning, biomedical data science, pharmacology, or a related scientific discipline, Minimum of 7 years of experience in academia, biotech, technology, or pharma, Track record in AI, computational tools, and target identification and credentialing, Demonstrated success advising senior leaders, Demonstrated success evaluating emerging scientific capabilities, Demonstrated success translating technical advances into strategic R&D impact
What You'll Do.
Shape scientific strategy
Evaluate internal capabilities
Evaluate external capabilities
Apply deep scientific judgement
Advance identification of therapeutic targets
Advance prioritization of therapeutic targets
Advance credentialing of therapeutic targets
Provide expert leadership on digital approaches
Provide expert leadership on computational approaches
Provide expert leadership on AI approaches
Accelerate target discovery
Improve target confidence
Increase probability of success
Advise senior leaders
Advise corporate management
Assess emerging methods
Assess emerging platforms
Assess emerging partnerships
Assess external innovations
Serve as internal expert consultant
Contribute deep scientific judgement
Provide thought partnership
Establish national reputation
Establish international reputation
Maintain national reputation
Maintain international reputation
Contribute to scientific community
Bring connections to academic groups
Bring connections to biotech groups
Bring connections to technology groups
Bring connections to pharmaceutical groups
Envision scientific solutions
Deliver scientific solutions
Envision technological solutions
Deliver technological solutions
Influence direction of field
Influence productivity of field
How You'll Work.
Team & Collaboration
Across research programs; Across R&D-wide initiatives; Across a matrixed organization
Communication Scope
Invited speaking engagements
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 Target Identification & Credentialing, is a senior individual contributor and scientific thought leader at the intersection of AI, computational science, and target discovery. This role will shape scientific strategy, evaluate internal and external capabilities, and apply deep scientific judgement to advance the identification, prioritization, and credentialing of therapeutic targets across R&D. * The individual will provide expert leadership on how advanced digital, computational, and AI approaches can accelerate target discovery, improve target confidence, and increase probability of success. 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 target identification and validation. * A core expectation of the role is to help define scientific strategies and practical tactics that support company ambitions in AI-enabled target identification and credentialing. This includes assessing emerging methods, platforms, partnerships, and external innovations for scientific quality, strategic relevance, and potential impact across areas such as human genetics, multimodal data integration, causal biology, disease mechanisms, target p
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