Vladimir Turzhitsky
Director - Data Science & Outcomes Research Merck & Co
Vladimir Turzhitsky is Director, Real-World Evidence Capabilities and Analytics, at Merck Research Laboratories, where he leads real-world evidence generation and advanced analytics in support of oncology and enterprise analytics initiatives. Since joining Merck in 2018, he has helped build scalable analytics platforms, reusable algorithms, and AI-enabled innovations that improve the speed, reproducibility, and rigor of observational research. Prior to Merck, he held research and faculty roles at Harvard Medical School focused on early disease prediction and detection. Vladimir earned his Ph.D. in Biomedical Engineering from Northwestern University and has authored more than 100 publications, abstracts, and conference presentations spanning epidemiology, translational science, and applied machine learning.
Seminars
- Understanding how payer dynamics, account structures, and reimbursement pathways shape access outcomes beyond the strength of clinical and real-world evidence
- Navigating negotiation realities including contracting, channel dynamics, and policy constraints that influence pricing decisions even when value is clearly demonstrated
- Adapting market access strategy to focus on high impact moments that improve coverage and uptake, while balancing evidence generation with commercial and payer expectations
- Identifying where real world evidence generation can benefit most from AI, and why it usually falls short despite technical sophistication
- Translating complex real-world datasets into usable, decision‑relevant insights rather than fragmented or non‑actionable outputs
- Scaling AI beyond promising pilots by embedding it into real workflows, systems, and decision-making processes across evidence generation
