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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management and AI product strategy, with a strong focus on causal modeling and data analytics to enhance drug development processes. Proven ability to lead cross-functional teams using agile methodologies while optimizing product metrics and business outcomes.
Highest-signal resume keywords
Product ManagementCausal ModelingAI TechnologiesAgile MethodologiesStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Causal InferenceData ScienceBusiness AnalysisUser Story CreationRoot-Cause AnalysisSQLData QueryingQuantitative ApproachesProcess FlowsFuture-State Mapping
Soft Skills
Communication SkillsProblem-Solving SkillsStrategic Thinking
Tools & Technologies
JiraConfluenceMiroLucidchartUX/UI Principles
Industry Keywords
HealthcareBiotechClinical DatasetsReal World EvidenceDigital Clinical Development
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- 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
- 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
- Lead AI product strategy and delivery for Evidence Generation and Decision Sciences within Digital Clinical Development
- Drive end-to-end Real-World Evidence-based causal inference modeling product ownership from vision to value delivery
- Leverage AI and data analytics to transform drug development processes
- Reduce clinical development cycle time, minimize development risk, and optimize costs through quantitative approaches and agentic AI solutions
Requirements
What you’ll need- 5+ years in product management or complex digital solution development
- 3+ years in model development or data science
- Healthcare/biotech experience with clinical datasets preferred
- Expert knowledge of causal modeling and causal inference
- Familiarity with knowledge graphs, foundation models, and Real World Evidence analytics
- Excellent stakeholder management and communication skills
- Strong business analysis and problem-solving skills
- Ability to gather requirements, create user stories and process flows, analyze gaps, develop future-state maps, perform root-cause analysis, develop hypotheses, build business cases, analyze ROI, and drive data-based decision-making
- Demonstrated ability to think and influence strategically
- 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
- Degree in Life Sciences, Biotechnology, Biomedical Engineering, Computer Science, or related technical field preferred
- Strong preference for candidates with both scientific and data science backgrounds
- Must be a US or Puerto Rico resident
Benefits
Comp & perks- Opportunities for career growth through promotion or lateral moves, at home or internationally
- Rewards package recognizing contribution and impact
- Health and wellbeing benefits
- High-quality healthcare
- Prevention and wellness programs
- At least 14 weeks' gender-neutral parental leave
- Employee benefit programs
- Partnerships with OpenAI, AQEMIA, IBM, and others