Research Associate – Epidemiology

Responsibilities

• Development and application of statistical, causal, and machine learning methods for analyzing complex longitudinal data structures, including electronic health records (EHRs), registry data, biobanks, pragmatic trials and cohort studies.
• Collaboration on research projects across the palliative care, critical care, and health services research spectrum, working alongside faculty in the Department and a dynamic team of clinician-scientists, epidemiologists, and biostatisticians.
• Support for methodological development in clinical trials design, analysis, and monitoring; observational studies; and Bayesian causal inference applications.

Qualifications

• Expertise in the specific area of longitudinal causal inference methods and/or the design, evaluation, and application of research methods, as well as a specific area of epidemiology, (bio)statistics, or a related field of quantitative or computational science.
• At least one year of postdoctoral experience.
• A Ph.D. or equivalent degree.