Scientific Fellow, AI-Enabled Target Identification & Credentialing

Sanofi
Sanofi logo
Location
Cambridge, MA / Morristown, New Jersey
Job Type
Full-time
Posted
May 16, 2026
Views
5

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 innovations for scientific quality, strategic relevance, and potential impact across areas such as human genetics, multimodal data integration, causal biology, disease mechanisms, target prioritization, target validation, and evidence generation to support target confidence. The Scientific Fellow will also serve as a highly sought-after internal expert consultant, contributing deep scientific judgement, thought partnership, and mentoring across R&D where relevant to their area of expertise.

This role requires a recognized leader with strong external visibility and influence. The Scientific Fellow must 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. They must be recognized externally as an expert in the field and bring strong connections to leading academic, biotech, technology, and pharmaceutical groups working at the forefront of AI, computational biology, and target discovery.

The successful candidate will have a proven record of envisioning and delivering innovative scientific or technological solutions with a high degree of creativity, and of meaningfully influencing the direction and productivity of their field within R&D. They must be capable of operating as a highly independent senior scientific leader without direct line management responsibility, while exerting broad influence across a matrixed organization.

About You

Qualifications

Ph.D. in computational biology, systems biology, bioinformatics, genetics, machine learning, biomedical data science, pharmacology, or a related scientific discipline, with a minimum of 7 years of experience in academia, biotech, technology, or pharma.

Candidates must have a strong track record in AI, computational tools, and target identification and credentialing, along with demonstrated success advising senior leaders, evaluating emerging scientific capabilities, and translating technical advances into strategic R&D impact.

Why Choose Us?

Bring the miracles of science to life alongside a supportive, future-focused team.

Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

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 innovations for scientific quality, strategic relevance, and potential impact across areas such as human genetics, multimodal data integration, causal biology, disease mechanisms, target prioritization, target validation, and evidence generation to support target confidence. The Scientific Fellow will also serve as a highly sought-after internal expert consultant, contributing deep scientific judgement, thought partnership, and mentoring across R&D where relevant to their area of expertise.

This role requires a recognized leader with strong external visibility and influence. The Scientific Fellow must 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. They must be recognized externally as an expert in the field and bring strong connections to leading academic, biotech, technology, and pharmaceutical groups working at the forefront of AI, computational biology, and target discovery.

The successful candidate will have a proven record of envisioning and delivering innovative scientific or technological solutions with a high degree of creativity, and of meaningfully influencing the direction and productivity of their field within R&D. They must be capable of operating as a highly independent senior scientific leader without direct line management responsibility, while exerting broad influence across a matrixed organization.

About You

Qualifications

Ph.D. in computational biology, systems biology, bioinformatics, genetics, machine learning, biomedical data science, pharmacology, or a related scientific discipline, with a minimum of 7 years of experience in academia, biotech, technology, or pharma.

Candidates must have a strong track record in AI, computational tools, and target identification and credentialing, along with demonstrated success advising senior leaders, evaluating emerging scientific capabilities, and translating technical advances into strategic R&D impact.

Why Choose Us?

Bring the miracles of science to life alongside a supportive, future-focused team.

Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

Sanofi US Services and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

#GD-SA ​

#LI-SA

#LI-Onsite​

#vhd

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

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Job Information

Source: manual
Remote Type: onsite
Experience: Director
Allowed Locations: Worldwide
Skills & Tags:
AI computational biology drug discovery machine learning target identification

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