Clinical Science Data Fellowships


BDS offers full-time one-year post-doctoral training fellowships for PhDs and MDs to bridge the gap between data science and clinical medicine.

Program Summary

A full-time one-year post-doctoral training fellowship (with possibility of a one-year extension) for PhDs and MDs to bridge the gap between data science and clinical medicine. Fellows will receive full salary support from the program. The focus of the program is to immerse fellows in interdisciplinary research and clinical workflows so they can learn, build and deploy real-world health data solutions. The fellowship will be self-directed and project-based, with top researchers and clinician mentors.

Program Details

Application Process

We invite eligible applicants to submit a single-page letter of intent, a CV, and citizenship/residency/visa status to Helio Costa (hcosta@stanford.edu) by October 31, 2018. A selected group of applicants will be invited to prepare a more detailed application and interview with faculty members in mid-December 2018. The fellowship will begin September 2019 and run through August 2020.

The application period is currently closed.

Current Fellows

Jessica Chen, Ph.D.

Clinical Data Science Interests: Clinical Genomics, Healthcare Analytics, Drug Discovery

Nick Haber, Ph.D.

Clinical Data Science Interests: Artificial Intelligence, Active Learning, Ubiquitous Computing

Haik Kalantarian, Ph.D.

Clinical Data Science Interests: Ubiquitous Computing, Wearables, Sensors

Rikiya Yamashita, MD, PhD

Interests: Machine/Deep Learning for Biomedical Data (Radiology, Pathology, Genomics), Clinical Decision Making, Causal Inference, Dataset Bias