Research Associate Epidemiology

Key Responsibilities

• Develop and apply statistical, causal, and machine learning methods for complex longitudinal data, including electronic health records, registries, biobanks, pragmatic trials, and cohort studies.
• Collaborate on projects across palliative care, critical care, and health services research, working with faculty, clinician-scientists, epidemiologists, and biostatisticians.
• Support methodological development for clinical trials, observational studies, and Bayesian causal inference applications.
• Lead innovative methodological projects with increasing autonomy and contribute to peer-reviewed publications.
• Engage in team science while building a path toward independent research.

Qualifications

• Ph.D. or equivalent degree in epidemiology, biostatistics, or related quantitative/computational field.
• At least one year of postdoctoral experience.
• Expertise in longitudinal causal inference, advanced statistical methods, or machine learning applications.
• Strong collaboration, communication, and analytical skills.