Product Owner for In Silico Translational Medicine

Role Summary

Product Owner for In Silico Translational Medicine will lead the creation of new AI/ML models for quantitative pharmacology and/or preclinical safety functions used to inform probability of success of therapeutic candidates as they advance in the R&D pipeline. You will industrialize pilot AI/ML models and interoperable data solutions created by partners, 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.

Responsibilities

• Build partnerships with scientists on the Quantitative Pharmacology and Preclinical Safety teams. Understand data, in silico models, and analysis platforms used 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 with the Product Line Owner and scientists to write business cases for new product development, prioritizing investments that accelerate the R&D pipeline and increase 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. Conduct outreach to scientists to inform them of the 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 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 provided and new options in the marketplace.

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 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; 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 give teammates the benefit of the doubt and balance competing priorities with urgency; data-driven decision-making for feature priorities.
• Curiosity about emerging technologies in AI/ML and scientific computing.