Sanofi

biopharma

ScientificFellow,AI-EnabledTargetIdentification&Credentialing

$233–336k Cambridge, Massachusetts, United States; Morristown, New Jersey, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Scientific Fellow, AI-Enabled Target Identification & Credentialing at Sanofi. Skills: AI-Enabled Target Identification & Credentialing, computational science, target discovery. shape scientific strategy. evaluate internal and external capabilities”

What You'll Achieve.

advance the identification, prioritization, and credentialing of therapeutic targets across R&D; accelerate target discovery; improve target confidence; increase probability of success; support company ambitions in AI-enabled target identification and credentialing; deliver innovative scientific or technological solutions

Industry & Context.

biopharma
Problems you'll solve

AI-Enabled Target Identification & Credentialing; accelerate target discovery; improve target confidence; increase probability of success

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, evaluating emerging scientific capabilities, and translating technical advances into strategic R&D impact

Nice to Have

recognized leader with external visibility and influence, 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, recognized externally as an expert in the field and bring connections to leading academic, biotech, technology, and pharmaceutical groups working at the forefront of AI, computational biology, and target discovery, proven record of envisioning and delivering innovative scientific or technological solutions with a high degree of creativity, meaningfully influencing the direction and productivity of their field within R&D, capable of operating as a highly independent senior scientific leader without direct line management responsibility, while exerting broad influence across a matrixed organization

What You'll Do.

shape scientific strategy

evaluate internal and external capabilities

apply deep scientific judgement to advance the identification

and credentialing of therapeutic targets across R&D

provide expert leadership on how advanced digital

and AI approaches can accelerate target discovery

improve target confidence

and increase probability of success

advise senior leaders and corporate management on emerging scientific and technological advances

strategic opportunities

and differentiated approaches in AI-enabled target identification and validation

define scientific strategies and practical tactics that support company ambitions in AI-enabled target identification and credentialing

assess emerging methods

and external innovations for scientific quality

and potential impact across areas such as human genetics

multimodal data integration

target prioritization

and evidence generation to support target confidence

serve as a highly sought-after internal expert consultant

contributing deep scientific judgement

and mentoring across R&D where relevant to their area of expertise

establish and maintain a national and international reputation as a thought leader

contribute to the scientific community

envision and deliver innovative scientific or technological solutions

exert broad influence across a matrixed organization

How You'll Work.

Team & Collaboration

Working across research programs and R&D-wide initiatives; exerting broad influence across a matrixed organization

Communication Scope

high-impact publications; patents; productive scientific collaborations; invited speaking engagements; conference participation; external visibility and influence

Full Job Description

**Job Title:** Scientific Fellow, AI-Enabled Target Identification & Credentialing **Reports to:** Global Head of Computational & AI Strategy, R&D **Location:** Cambridge, MA / Morristown, NJ **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. **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. **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 innovati

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