Nahiyan Saiyara Khan
Teaching Assistant (Pha 6225 - Méthodologie De La Recherche En Pharmacie) @Faculté De Pharmacie - Udem
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WORK HISTORY
Teaching Assistant (Pha 6225 - Méthodologie De La Recherche En Pharmacie) @Faculté De Pharmacie - Udem
Montreal, QC, CA
EDUCATION
McGill University
Graduate Student , School of Population and Global Health - Epidemiology, Biostatistics and Occupational Health
College Ahuntsic
Diploma of College Studies (DCS), Health & Life Sciences
Université de Montréal
Doctor of Philosophy - PhD, Pharmaceutical Sciences, Specialization: Medications and Population Health (Pharmacoepidemiology)
Universitat de Barcelona
13th Summer School on Medicines
International Baccalaureate
Secondary School Diploma (SSD)
Université de Montréal
Bachelor of Science - BSc, Biochemistry & Molecular Medicine, Specialization: Molecular Medicine
École de santé publique de l'Université de Montréal
Master of Science - MSc, Environmental & Occupational Health - Research Option
SKILLS
ABOUT NAHIYAN SAIYARA KHAN
Pharmacoepidemiology | Data Science | Scientific & Medical Communication I am a PhD Candidate in Pharmaceutical Sciences at the Université de Montréal, specializing in pharmacoepidemiology and perinatal epidemiology. My doctoral research focuses on evaluating the impact of risk management interventions on the use of teratogenic drugs during pregnancy in Canada, using advanced statistical methods such as interrupted time series analysis. With a background in public health, biochemistry, and environmental health sciences, I bring over four years of research experience spanning epidemiology, toxicology, and data analysis. I am skilled in statistical programming (R, Stata, Python), data visualization, and scientific writing, and have experience translating complex scientific findings into clear, actionable insights for diverse audiences. I am passionate about bridging the gap between science and practice whether by supporting healthcare decision-making, contributing to regulatory and policy development, or communicating evidence-based information to clinicians and the public. My career interests include Medical Science Liaison, medical writing, data analysis, and data science roles within the pharmaceutical and healthcare sectors.
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