Vineet Saini

As an Applied/Embedded hands-on Scientist for 12+ years in healthcare in Canada, I have been using real world data with a simple vision: to turn complex health data into clear, actionable insights that improve health of individuals and communities, and guide evidence-based decisions. I specialize in epidemiological study designing, advanced statistical modeling, and communicating science without jargon i.e., ensuring that evidence is not only rigorous, but also relevant and understandable to policymakers, clinicians, and patients alike. Over my career, I have led and contributed to studies that span real-world evidence generation, disease surveillance, and health services and outcomes research.

I thrive in cross-functional environments that bridge science, analytics, and strategy - collaborating with data scientists, medical teams, and policy stakeholders to ensure that the evidence produced is practically useful! I am also an Adjunct Faculty at the Cumming School of Medicine (University of Calgary) where I am involved in teaching epidemiology, research and mentorship.

Provincial Lead Scientist (Director-level) Outcomes Research, Real-World Evidence and Epidemiology leader with 12+ years of experience in generating population-level evidence across infectious/communicable disease, immunization, antibiotic stewardship and chronic disease portfolios in public health in Alberta, Canada. Track record of designing, governing, and delivering robust observational studies, supporting clinical, regulatory and operational decision-making through a collaborative approach in matrixed environments. Author of 30 peer-reviewed publications from applied clinical and public health research work supporting scientific credibility and regulatory confidence.

Expertise includes Health Technology Assessment, Epidemiologic Study Designing, Biostatistics, and Strategic Planning within diverse therapeutic areas. Demonstrated ability to build strong professional relationships with scientific experts worldwide and present outcomes research data at provincial, national and international venues.

PhD (Epidemiology) followed by Post Doctoral Fellowship