Scientific Fellow, AI-Enabled Target Identification & Credentialing
Sanofi
June 26, 2026
Remote friendly (Cambridge, MA)
United States
$232,500 - $335,833.33 USD yearly
Other
Main Responsibilities:
- Serve as a senior individual contributor and scientific thought leader at the intersection of AI, computational science, and target discovery; shape scientific strategy to advance identification, prioritization, and credentialing of therapeutic targets across R&D.
- Provide expert leadership on how advanced digital, computational, and AI approaches can accelerate target discovery, improve target confidence, and increase probability of success; advise senior leaders on emerging scientific/technological advances and AI-enabled target identification/validation.
- Define scientific strategies and practical tactics by assessing emerging methods, platforms, partnerships, and external innovations for scientific quality, strategic relevance, and impact across human genetics, multimodal data integration, causal biology, disease mechanisms, target prioritization/validation, and evidence generation; consult and mentor across R&D.
- Establish and maintain a national and international reputation via high-impact publications, patents, collaborations, invited speaking, and conference participation; build connections with leading academic, biotech, technology, and pharma groups.
- Independently envision and deliver innovative scientific/technological solutions and influence the direction and productivity of the field across a matrixed organization.
Qualifications:
- Ph.D. in computational biology, systems biology, bioinformatics, genetics, machine learning, biomedical data science, pharmacology, or related field; minimum 7 years’ experience in academia, biotech, technology, or pharma.
- Strong track record in AI, computational tools, and target identification/credentialing; proven ability to advise senior leaders, evaluate emerging capabilities, and translate technical advances into strategic R&D impact.
Benefits:
- Health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.
- Serve as a senior individual contributor and scientific thought leader at the intersection of AI, computational science, and target discovery; shape scientific strategy to advance identification, prioritization, and credentialing of therapeutic targets across R&D.
- Provide expert leadership on how advanced digital, computational, and AI approaches can accelerate target discovery, improve target confidence, and increase probability of success; advise senior leaders on emerging scientific/technological advances and AI-enabled target identification/validation.
- Define scientific strategies and practical tactics by assessing emerging methods, platforms, partnerships, and external innovations for scientific quality, strategic relevance, and impact across human genetics, multimodal data integration, causal biology, disease mechanisms, target prioritization/validation, and evidence generation; consult and mentor across R&D.
- Establish and maintain a national and international reputation via high-impact publications, patents, collaborations, invited speaking, and conference participation; build connections with leading academic, biotech, technology, and pharma groups.
- Independently envision and deliver innovative scientific/technological solutions and influence the direction and productivity of the field across a matrixed organization.
Qualifications:
- Ph.D. in computational biology, systems biology, bioinformatics, genetics, machine learning, biomedical data science, pharmacology, or related field; minimum 7 years’ experience in academia, biotech, technology, or pharma.
- Strong track record in AI, computational tools, and target identification/credentialing; proven ability to advise senior leaders, evaluate emerging capabilities, and translate technical advances into strategic R&D impact.
Benefits:
- Health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.