Director, Advanced Analytics and Data Science - Innovation
$174,600–$234,600 year
RemoteUnited States or San Carlos, California, United States
Job Summary
Contribute to the advanced analytics capability roadmap and execute AI innovation pilots for predictive triggers, dynamic targeting, and next-best-action solutions across Commercial, Medical Affairs, and Clinical Operations. Develop patient journey analytics using longitudinal healthcare data to identify intervention moments and scale decision-support tools for personalized engagement. Serve as a strategic partner to business leaders by translating complex data into actionable recommendations, establishing measurement frameworks, and championing responsible AI practices with robust governance. Lead a team of data scientists and analysts, providing day-to-day coaching, building operating models, and embedding data-driven decision-making into commercial planning and clinical operations execution.
Required Qualifications
- BA/BS Degree
- 10+ years of overall industry experience
- 8+ years of experience in advanced analytics, data science, commercial analytics, medical analytics, clinical operations analytics, business analytics, or a related function within the pharmaceutical, biotech, healthcare, or life sciences sector
- Demonstrated experience translating complex data and analytics into strategic recommendations for senior business stakeholders
- Strong understanding of healthcare, medical, clinical, and commercial data sources, such as claims, prescription, specialty pharmacy, EHR, real-world data, clinical trial operations data, market access, and third-party syndicated datasets
- Experience leading analytics initiatives and innovations that support commercial strategy, omnichannel engagement, patient journey insights, medical engagement, evidence generation, clinical trial feasibility, enrollment, site performance, customer targeting, segmentation, measurement, experimentation, or predictive modeling
- Proven ability to lead cross-functional initiatives and influence stakeholders across business, technology, data, legal, compliance, and vendor teams
- Demonstrated ability to identify high-value AI innovation opportunities, support AI-enabled transformation, and translate emerging technologies into practical business, scientific, and operational applications with clear measurement plans
- Experience designing measurement approaches for analytics and AI initiatives, including KPI definition, experimentation, model monitoring, adoption metrics, and business impact assessment
- Bachelor's degree in statistics, data science, economics, engineering, business analytics, computer science, or a related quantitative field, or equivalent practical experience
- Up to 20% travel for team meetings, stakeholder workshops, or business reviews
Desired Qualifications
- Advanced degree, such as a Master's, MBA, or Ph.D., in a quantitative, scientific, technology, or business discipline
- Experience with modern analytics, AI, and data platforms, such as cloud data warehouses, data science workbenches, business intelligence tools, SQL, Python, R, machine learning operations, generative AI tools, experimentation platforms, and AI/ML deployment and monitoring approaches
- Experience building or scaling analytics capabilities, AI innovation pilots, measurement programs, or test-and-learn frameworks in a fast-paced, growth-oriented organization
- Strong executive communication skills, including the ability to develop clear narratives, simplify complexity, and present insights to senior leadership
- Familiarity with pharmaceutical data privacy, compliance, governance, responsible AI considerations, and the practical application of AI in regulated life sciences environments
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