Product Owner for In Silico Translational Medicine

Role Summary

Product Owner for In Silico Translational Medicine. Lead the creation of new AI/ML models for the quantitative pharmacology and/or preclinical safety functions which are used to inform probability of success of therapeutic candidates as they advance in the R&D pipeline. Additionally, you will industrialize pilot AI/ML models and interoperable data solutions created by our business partners in Quantitative Pharmacology and Preclinical Safety, ensuring scalability, ease of use, and alignment with Digital standards for future proofing.

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. Work together to identify pain points with existing workflows and major 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 on the Quantitative Pharmacology and Preclinical Safety teams to write business cases for new product development, ensuring that investment prioritizes maximum 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 collaborating closely with a scrum master. Manage the product backlog.
• Spearhead user adoption of new products. Perform outreach to scientists to inform them of the new capabilities and provide necessary 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 that scope of work stays within budget.
• Oversee lifecycle management for a portfolio of existing digital solutions used by the Quantitative Pharmacology team and/or Preclinical Safety team, staying aligned with the scientists on the value these solutions provide and new options in the marketplace.

Qualifications

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

Skills

• Teammates have given you feedback that you have excellent communication skills with a wide range of collaborators and stakeholders.
• You are a strong leader and eager to continue developing as a leader. You can both command the room and be an empathetic listener.
• You are inclined to give your teammates the benefit of the doubt before knowing the full story.
• You are confident in your ability to balance competing priorities with an appropriate sense of urgency and make data-driven decisions about feature priorities.
• Curiosity about emerging technologies in AI/ML and scientific computing.

Education

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