Epidemiology Analyst

About the role

The Epidemiologist/Research Data Analyst performs the gathering, analysis, and interpretation of a wide variety of research data, designs and conducts research, prepares reports and visual aids, works in the Department of Neurology under the Principal Investigator, supports epidemiologic studies focused on Parkinson's disease and related neurological disorders, and collaborates with investigators and multidisciplinary teams. The mission of the Department of Neurology at the University of California, San Francisco (UCSF) includes delivering the most exceptional clinical care to our patients, leading transformative cutting‑edge research, and training the leaders of tomorrow in both neurology and neuroscience. Our department’s faculty, trainees, and staff work at a University and in a community that values and embraces diversity and strives to make an impact worldwide through our global and public health efforts.

Responsibilities

• Designs and conducts research including selecting data samples, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings.
• Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results.
• Works in the Department of Neurology under the direction of the Principal Investigator and in collaboration with faculty investigators, research staff, trainees, and data analysts.
• Supports epidemiologic studies focused on Parkinson's disease and related neurological disorders, applying statistical and epidemiologic methods to investigate disease risk, progression, treatment effectiveness, and patient outcomes.
• Works with a variety of research data sources, including clinical, genetic, administrative, registry, and longitudinal cohort data.
• Independently cleans, manages, integrates, and analyzes complex datasets while contributing to multiple research projects.
• Collaborates closely with investigators and multidisciplinary research teams to develop rigorous study designs, implement appropriate analytic methods, and effectively communicate findings to both scientific and lay audiences.
• Is highly organized, possesses excellent problem‑solving skills, and demonstrates the ability to effectively manage