Vivek Verma
Associate Director, Real World Evidence Data Science @AstraZeneca
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WORK HISTORY
Associate Director, Real World Evidence Data Science @AstraZeneca
Mississauga, ON, CA
Offer scientific guidance for leveraging Real World Evidence (RWE) in addressing challenges across Oncology and Biopharmaceuticals units.• Support strategic decisions on external collaborations for Medical Evidence and Observational Research.• Collaborate with Epidemiology and Outcome Research teams to enhance the value of large observational data.• Analyze electronic medical records (EMR), claims, and other primary observational data to develop RWE strategies and insights.• Aid in formulating IVS strategies and optimal contact models for key markets through real-world data (RWD) analysis.• Provide technical expertise for strategic decisions on study design, data partner selection, and RWE data utilization.• Assist technical teams in developing self-serving analytical tools and visual analytics for end users.• Offer technical direction for building RWE platforms and capabilities.• Contribute to establishing a competitive edge for AZ through identifying, acquiring, and mining diverse RWD assets.• Evaluate external RWD sources and potential partners to advance therapeutic area data strategies.
EDUCATION
Maharashtra University of Health Sciences
B.D.S.
McGill University
Doctor of Philosophy - PhD, Medicine
Smt. P.G. Garodia English High School
SSC, Science, English, Maths, Hindi, Marathi, Social Science
McGill University
Master's degree, Craniofacial Sciences
R.J. College, Mumbai
Junior College, Biology, Chemistry, Physics, English, Mathematics
Sikkim Manipal Institute of Technology - SMU
M.Sc., Clinical Research & Regulatory Affairs
SKILLS
ABOUT VIVEK VERMA
My career is a narrative of progressive leadership in medical informatics and quantitative science, culminating in my current role as Associate Director of RWE Data Science at AstraZeneca, where I spearhead initiatives that shape our RWD strategy and unlock its full potential.My passion lies in bridging the gap between raw data and tangible patient benefits. At AstraZeneca, this translates to leading cross-functional collaborations with Epidemiology, Statistics, and Payer teams, providing scientific and technical guidance that underpins critical decision-making in areas like Oncology and Biopharmaceuticals. I thrive on not just analyzing data, but on building sustainable capabilities—from conducting due diligence on novel data sources to contributing to the architectural vision for RWE platforms. My technical expertise in R, SAS, Python, and advanced methodologies (propensity scoring, G-computation, ECAs) is always applied with a strategic lens, seeking to maximize the value extracted from observational research.The dawn of GenAI presents an unprecedented opportunity to augment our analytical power. I am actively exploring and championing its application to enhance the robustness of observational studies, accelerate evidence generation, and uncover novel therapeutic pathways. My experience in developing user-focused data tools and fostering data-driven cultures positions me to lead teams in integrating these advanced AI solutions ethically and effectively. I see a future where RWE and GenAI converge to create highly personalized, predictive, and efficient healthcare systems, and I am dedicated to leading at the forefront of this transformation.I am seeking leadership opportunities where I can leverage my expertise in RWE strategy, advanced analytics, and the integration of cutting-edge AI to drive significant impact in healthcare. If you\'re pioneering innovations in this space or looking for a leader to build and inspire high-performing data science teams, I\'d be delighted to connect and explore how we can shape the future together.
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