Causal Inference Product Owner Clinical Design Modeling and Simulation within Digital
About The Position
Lead AI product strategy and delivery for Evidence Generation and Decision Sciences from within Digital Clinical Development, acting as a strategic product leader who bridges business objectives with technical execution. Drive end-to-end Real-World Evidence-based causal inference modeling product ownership from vision to value delivery, leveraging AI and data analytics to transform drug development processes. Provide strategic direction for high-impact, measurable products aimed at reducing clinical development cycle-time, minimizing development risk, and optimizing costs through innovative quantitative approaches and agentic AI solutions.
Requirements
- 5+ years in product management or complex digital solution development
- 3+ years model development or data science
- Expert knowledge of causal modeling and causal inference; familiarity with knowledge graphs, foundation models and Real World Evidence analytics
- Excellent stakeholder management and communication: ability to elicit, analyze, and synthesize requirements from diverse stakeholders across multiple organizational levels, translate complex technical concepts into business language and vice versa, manage conflicting priorities and negotiating trade-offs
- Strong business analysis and problem solving: ability to gather requirements and create user stories and process flows, analyze gaps and develop future state maps, perform root cause analysis and develop hypotheses, develop business cases and analyze ROI, drive data-based decision making
- Demonstrated ability to think and influence strategically: ability to connect projects and products to organizational goals and impact, drive change management and adoption of technical solutions, challenge assumptions and provide objective recommendations, and build trust with key stakeholders
- Proficiency in AI technologies, clinical development applications, and agile/lean methodologies
- Familiarity with Jira, Confluence, Miro, Lucidchart, system integration and data flows, SQL or other data querying capabilities, and UX/UI principles and user centered design thinking
Nice To Haves
- Healthcare/biotech experience with clinical datasets preferred
- Degree in Life Sciences, Biotechnology, Biomedical Engineering, Computer Science, or related technical field
- Strong preference for candidates with both scientific and data science backgrounds.
Responsibilities
- Define and execute product roadmaps aligned with business objectives
- Collaborate with leadership across Digital Data Science, Translational Medicine, Development teams, and Clinical Operations to drive product adoption
- Define, track, and optimize product metrics and business outcomes, ensuring measurable impact each sprint
- Manage product backlog prioritization and serve as primary decision-maker for product features and requirements
- Guide AI product development from pre-clinical through real-world evidence integration
- Lead cross-functional delivery teams through agile methodologies, ensuring on-time delivery of product increments
Benefits
- high-quality healthcare
- prevention and wellness programs
- at least 14 weeks’ gender-neutral parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
