Product Owner for In Silico Translational Medicine

Role Summary

Product Owner for In Silico Translational Medicine leading the creation of AI/ML models for quantitative pharmacology and preclinical safety, and industrializing pilot models and interoperable data solutions. Reports to the In Silico Translational Medicine Product Line Owner.

Responsibilities

• Build partnerships with scientists on the Quantitative Pharmacology and Preclinical Safety teams to understand data, in silico models, and analysis platforms; identify pain points and opportunities for AI/ML models and interoperable data solutions to advance the R&D pipeline.
• Collaborate with the Product Line Owner and scientists to write business cases for new product development, prioritizing 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 with a scrum master; manage the product backlog.
• Spearhead user adoption of new products; outreach to scientists to inform them of new capabilities and provide 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 the scope stays within budget.
• Oversee lifecycle management for a portfolio of existing digital solutions used by the Quantitative Pharmacology and/or Preclinical Safety teams, staying aligned with scientists on value and new marketplace options.

Qualifications

• Required: 5+ years of experience in product management, defining new products and features with value to users; translating business requirements to technical specifications.
• Required: Proven experience collaborating with data scientists and/or developers to create products serving 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 degree (Preferred: MS or PhD in Pharmacology, Chemistry, or Life Sciences; related fields such as Computational Biology, Bioinformatics, Biochemistry, Molecular Biology).

Skills

• Excellent communication with a wide range of collaborators and stakeholders.
• Strong leadership with the ability to command the room and listen empathetically.
• Collaborative, trusting approach; able to balance competing priorities with urgency and make data-driven decisions on feature priorities.
• Curiosity about emerging technologies in AI/ML and scientific computing.

Education

• Bachelor’s degree required; MS or PhD in Pharmacology, Chemistry, Life Sciences, Computational Biology, Bioinformatics, Biochemistry, Molecular Biology, or related field preferred