Product Owner leading AI/ML models for Quantitative Pharmacology's R&D pipeline at Sanofi. Collaborating with scientists on digital solutions to improve drug development workflows.
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...
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.
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
MS or PhD in Pharmacology, Chemistry, or the Life Sciences (Computational Biology, Bioinformatics, Biochemistry, Molecular Biology, or related field).
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