Product Owner for In Silico Translational Medicine

Role Summary

Product Owner for In Silico Translational Medicine based in Cambridge, MA or Morristown, NJ. Lead the creation and industrialization of AI/ML models for quantitative pharmacology and preclinical safety, driving scalable data solutions and ensuring alignment with Digital standards. Report to the In Silico Translational Medicine Product Line Owner.

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. Identify pain points and opportunities for AI/ML models and interoperable data solutions to advance the R&D pipeline.
• Collaborate to write business cases for new product development, prioritizing investment to accelerate the R&D pipeline and increase the probability of success for therapeutic candidates.
• Define user stories and product requirements. Prepare work for data scientists and engineers following agile product development 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 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 the scientists on value and new marketplace options.

Qualifications

• Required: 5+ years of experience in product management, defining new products and features that provide value to users; experience translating business requirements to technical specifications.
• Required: Proven track record of 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; Computational Biology, Bioinformatics, Biochemistry, Molecular Biology, or related field).

Skills

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