Clinical Science Data Fellowships

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 ( 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 (2019-20)

Roozbeh Dehghannasiri, PhD

Clinical Data Science Interests: Bioinformatics, Statistical Learning, High-Dimensional Data Analysis, and Cancer System Biology

Rohan Joshi, MD/PhD

Clinical Data Science Interests: Clinical genomics, machine learning for multimodal medical data, and causal inference

Laura Symul, PhD

Clinical Data Science Interests: Digital Medicine, Menstrual Health, multivariable time-series analysis, and biological modeling

Past Fellows

DBDS on Diversity

We are committed to our historical and ongoing mission to use biomedical data science to improve human health. A cornerstone of this mission is diversity, reflected in embracing a breadth of complementary research interests, research styles, and a diverse and inclusive community. DBDS recognizes that we have significant work to do in shaping our future as we work towards achieving justice, equity, diversity and inclusion throughout our work and operations, our research and activities, and our professional relationships and partnerships.

Stanford's Land Acknowledgment Statement

Stanford sits on the ancestral land of the Muwekma Ohlone Tribe. This land was and continues to be of great importance to the Ohlone people. Consistent with our values of community and inclusion, we have a responsibility to acknowledge, honor, and make visible the University’s relationship to Native peoples.

This acknowledgment has been developed in collaboration with the Muwekma Ohlone Tribe.