Job Title: Scientific Fellow, AI-Enabled Target Identification & Credentialing
Reports to: Global Head of Computational & AI Strategy, R&D
Location: Cambridge, MA / Morristown, NJ
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 YouQualifications:- 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.
The salary range for this position is:
$232,500.00 - $335,833.33
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.
