Product Owner for In Silico Translational Medicine

About This Role

This role will lead the creation of new AI/ML models for quantitative pharmacology and preclinical safety functions, informing the probability of success for therapeutic candidates in the R&D pipeline. It also involves industrializing pilot AI/ML models and data solutions to ensure scalability and alignment with digital standards for future proofing.

Responsibilities

• Build partnerships with scientists on Quantitative Pharmacology and Preclinical Safety teams to understand their data, in silico models, and analysis platforms.
• Identify pain points and major opportunities for AI/ML models and interoperable data solutions to advance the R&D pipeline.
• Collaborate on writing business cases for new product development, ensuring investment prioritizes R&D pipeline acceleration and higher probability of success for therapeutic candidates.
• Define user stories and product requirements, preparing 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, manage the product backlog, and spearhead user adoption of new products by providing training materials.
• Define and track KPIs and success metrics to evaluate value provided to the business.
• Track spend throughout product delivery, ensuring scope of work stays within budget.
• Oversee lifecycle management for a portfolio of existing digital solutions, staying aligned with scientists on their value and new market options.

Requirements

• 5+ years of experience in product management, defining new products and features that provide value users.
• Experience translating business requirements to technical specifications.
• 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.
• 2+ years of experience in the life sciences, preferably in the biopharma sector.
• 2+ years of experience managing budgets.
• Bachelor's degree in Pharmacology, Chemistry, or the Life Sciences (Computational Biology, Bioinformatics, Biochemistry, Molecular Biology, or related field).

Qualifications

• Bachelor's (Preferred) MS or PhD in Pharmacology, Chemistry, or the Life Sciences (Computational Biology, Bioinformatics, Biochemistry, Molecular Biology, or related field).
• 5+ years of experience in product management, defining new products and features that provide value users. Experience translating business requirements to technical specifications. +2 years of experience in the life sciences, preferably in the biopharma sector. +2 years of experience managing budgets.

Nice to Have

• MS or PhD in Pharmacology, Chemistry, or the Life Sciences (Computational Biology, Bioinformatics, Biochemistry, Molecular Biology, or related field).

Skills

* Required skills

Benefits