Clinical Research Informatics Postdoctoral (CRISP) Fellowship

CRISP is not recruiting fellows for 2022-2023. Check back in Fall 2022 for information about 2023-2024.

The Clinical Research Informatics Postdoctoral (CRISP) Fellowship provides tailored training for clinician investigators who seek to improve healthcare through the science of clinical research informatics. It is funded by the National Center for Advancing Translational Science (NCATS), in conjunction wiht the UCSF Clinical and Translational Science Institute (CTSI) and the Department of Epidemiology and Biostatistics.

Fellows will receive a stipend commensurate with their PGY/postdoctoral fellow status plus tuition assistance for didactic training. Applicant departments will be responsible for covering approximately 25% of the total fellowship costs (see Frequently Asked Questions [PDF]). 

What is Clinical Research Informatics?

Clinical Research Informatics, one of the five domains of biomedical informatics supported by the American Medical Informatics Society, encompasses the technology, processes, principles and practices required for the execution of clinical research involving human subjects and their data. Careers may involve:

  • Diagram, venn diagramDescription automatically generatedSelection, implementation, development, and maintenance of a technology ecosystem to support clinical research activities and regulatory needs
  • Optimization of electronic health record (EHR) systems and data to support research administration, participant recruitment and consenting, data capture, intervention implementation and other activities supporting clinical research execution
  • Management and workflow of EHR data repositories, registries, marts, and warehouses, along with simplifying the process of leveraging these standardized repositories via reporting and analytics
  • Implementation science methods and translation of research into evidence-based practice


CRISP fellows will receive in-depth training in clinical research informatics and data science through coursework in the Training in Clinical Research (TICR) program in the Department of Epidemiology and Biostatistics, conduct a mentored research project, and participate in regular work-in-progress sessions. No prior experience in Clinical Research Informatics is required; however, this program will be most effective for those who have identified a potential project associated with an area of healthcare needing improvement. The target trainee is a current ACGME or non-ACGME postdoctoral fellow, but candidates at any postdoctoral level (including residents and faculty) are welcome to apply.


  • U.S. citizen or permanent resident
  • Doctoral degree in a healthcare profession
  • Clinical license in a healthcare profession (allopathic or osteopathic medicine, nursing, pharmacy, dentistry, psychology, physical therapy, acupuncture, podiatry)
  • Fewer than three years of prior funding through institutional or individual NRSA postdoctoral grants

Application instructions

Selection criteria

Up to 3 full-time postdoctoral fellowships will be awarded. Selection criteria will focus on the strengths and potential of the candidate to become a productive clinical investigator as evaluated across five domains:

  1. Track Record: Creativity of the candidate and potential to conduct innovative research based on prior training, areas of expertise, demonstrated interests, publications, grants, and collaborations
  2. Research Plan: Scientific strength, potential clinical importance, and feasibility of the proposed research plan
  3. Training Plan: Strength, appropriateness, and commitment of the proposed mentors as well as plan for didactic education and training
  4. Resources: Tangible resources provided by the mentor (e.g., workstation, computer, data analytic support, pre- and post-award grant assistance)
  5. Career Potential: Assessment of the likelihood that the candidate will develop a career as an outstanding investigator whose work will have an important impact on health care

Program director

CRISP is led by Mary Whooley, MD, UCSF Professor of Medicine, Epidemiology & Biostatistics ([email protected]). Administrative questions can be addressed to Madeline Mann ([email protected]).

Frequently asked questions

Consult this PDF