Product Owner for In Silico Translational Medicine

Role Summary

Product Owner for In Silico Translational Medicine leads the creation of new AI/ML models for quantitative pharmacology and/or preclinical safety functions used to inform probability of success of therapeutic candidates in the R&D pipeline. Oversees industrialization of pilot AI/ML models and interoperable data solutions, ensuring scalability, ease of use, and alignment with Digital standards for future-proofing. Location: Cambridge, MA; Morristown, NJ.

Responsibilities

• Build partnerships with scientists on the Quantitative Pharmacology and Preclinical Safety teams. 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 In Silico Translational Medicine Product Line Owner and scientists to write business cases for new product development, prioritizing maximum R&D pipeline acceleration and higher probability of success.
• 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. Conduct outreach to scientists to inform them of 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 scope stays within budget.
• Oversee lifecycle management for a portfolio of existing digital solutions used by the Quantitative Pharmacology and/or Preclinical Safety teams, aligning with scientists on value and marketplace options.

Qualifications

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

Skills

• Excellent communication skills with a wide range of collaborators and stakeholders.
• Strong leadership, capable of commanding the room while being an empathetic listener.
• Ability to balance competing priorities with urgency and make data-driven decisions about feature priorities.
• Curiosity about emerging AI/ML technologies and scientific computing.

Education

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