Product Owner for In Silico Translational Medicine
Company: Sanofi
Location: Morristown
Posted on: January 5, 2026
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Job Description:
At Sanofi, we chase the miracles of science to improve people’s
lives. We believe our cutting-edge science and manufacturing,
fueled by data and digital technologies, have the potential to
transform the practice of medicine, turning the impossible into
possible for millions of people. As one of the leading investors in
life sciences, manufacturing and research and development, we focus
on addressing unmet medical needs. Our products empower self-care,
prevent and treat diseases, and help people lead healthier lives.
Digital & Data is at the heart of Sanofi. Our ambition is to be the
leading digital healthcare platform: developing & delivering
medicine faster, enabling healthcare professionals to improve
treatments, and helping patients improve their health. Our scale,
strong connections within health ecosystems across the world, and
ability to leverage Sanofi’s capabilities make us the best place to
push the boundaries of medicine through technology. The Digital
In-Silico Research team is a key innovation engine within Digital
R&D, dedicated to pioneering next-generation digital products
that reshape how R&D discovers, designs, and develops new
medicines. We harness cutting-edge AI, machine learning, and
computational modeling to build transformative in-silico
solutions—empowering scientists with predictive insights,
streamlining complex workflows, and turning data into decisive
action. As the Product Owner for In Silico Translational Medicine ,
you will lead the creation of new AI/ML models for the quantitative
pharmacology and/or preclinical safety functions which are used to
inform probability of success of therapeutic candidates as they
advance in the R&D pipeline. Additionally, you will
industrialize pilot AI/ML models and interoperable data solutions
created by our business partners in Quantitative Pharmacology and
Preclinical Safety, ensuring scalability, ease of use, and
alignment with Digital standards for future proofing. This position
reports to the In Silico Translational Medicine Product Line Owner.
Key Responsibilities: Build partnerships with scientists on the
Quantitative Pharmacology and Preclinical Safety teams. Understand
the data, in silico models, and analysis platforms they use today
to carry out their function within R&D. Work together to
identify pain points with existing workflows and major
opportunities for AI/ML models and interoperable data solutions to
advance the R&D pipeline. Collaborate with the In Silico
Translational Medicine Product Line Owner and scientists on the
Quantitative Pharmacology and Preclinical Safety teams to write
business cases for new product development, ensuring that
investment prioritizes maximum R&D pipeline acceleration and
higher probability of success for therapeutic candidates. Define
user stories and product requirements. Prepare work for data
scientists and engineers following agile product development best
practices. Own and prioritize features on the product roadmap based
on scientific impact, business value, and technical feasibility.
Facilitate sprint planning collaborating closely with a scrum
master. Manage the product backlog. Spearhead user adoption of new
products. Perform outreach to scientists to inform them of the new
capabilities and provide necessary training materials. Define KPIs
and success metrics. Track and report on KPIs to evaluate value
provided to the business. Track spend throughout product delivery,
ensuring that scope of work stays within budget. Oversee lifecycle
management for a portfolio of existing digital solutions used by
the Quantitative Pharmacology team and/or Preclinical Safety team,
staying aligned with the scientists on the value these solutions
provide and new options in the marketplace. About You Experience
and Education (Required) 5 years of experience in product
management, defining new products and features that provide value
users. Experience translating business requirements to technical
specifications. (Required) Proven track record of collaborating
with data scientists and/or developers to create products which
serve the needs of scientists modeling, analyzing, and/or
processing data to advance biomedical research or drug development.
(Required) 2 years of experience in the life sciences, preferably
in the biopharma sector. (Required) 2 years of experience managing
budgets. (Required) Bachelor's (Preferred) MS or PhD in
Pharmacology, Chemistry, or the Life Sciences (Computational
Biology, Bioinformatics, Biochemistry, Molecular Biology, or
related field). Skills: Teammates have given you feedback that you
have excellent communication skills with a wide range of
collaborators and stakeholders. You are a strong leader and eager
to continue developing as a leader. You can both command the room
and be an empathetic listener. You are inclined to give your
teammates the benefit of the doubt before knowing the full story.
You are confident in your ability to balance competing priorities
with an appropriate sense of urgency and make data-driven decisions
about feature priorities. Curiosity about emerging technologies in
AI/ML and scientific computing. Why you should join 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. 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.
Keywords: Sanofi, Waterbury , Product Owner for In Silico Translational Medicine, Science, Research & Development , Morristown, Connecticut
