Research Data Analyst

The Research Data Analyst will join a collaborative and exciting team of researchers at the F.I. Proctor Foundation studying eye diseases in the U.S. and internationally. Researchers at the F.I. Proctor Foundation conduct randomized controlled trials and large epidemiological studies on ocular diseases that can cause blindness. The epidemiological studies involve large administrative databases, and the trials involve domestic and international collaboration. This position requires an employee with excellent communication and organizational skills who is skilled with working with large databases, including data extraction and application of advanced statistical methods including causal inference model techniques.

The Research Data Analyst will be an integral member of the research team by helping to develop research questions as well as executing them from the design through manuscript stage. Data extraction requires strong knowledge of SQL, and a high skill level with conducting analyses using the R programming language. Experience with large administrative databases is a plus, including claims and electronic health records. The employee should show a strong interest in clinical research and a desire to contribute to the state of knowledge on the prevention, treatment, and correlates of disease.

The final salary and offer components are subject to additional approvals based on UC policy.

Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc are currently subject to negotiation with the appropriate union.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

The salary range for this position is $69,000 - $100,200 (Annual Rate).

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html