DBDS seeking Assistant Professors of Biomedical Data Science

University Tenure Line, Stanford University, School of Medicine

We at DBDS at Stanford University seek two faculty members to join the Department as Assistant Professors on the University Tenure Line. One of these faculty will be additionally jointly appointed as a Core Investigator at the Arc Institute. The successful candidates will be expected to contribute creatively and in depth to the analysis of biomedical data and their use to advance science and health. A PhD or equivalent degree in data science, biostatistics, statistics, biomedical informatics, clinical informatics, computer science, biomedical engineering or a related area is required.

Apply here. 


The Biomedical Informatics (BMI) Training Program formally changed its name to the Biomedical Data Science Training Program effective September 1.

Read more here!

Application Deadlines:
December 5th for PhD and Academic MS; other MS applications accepted quarterly
Mentoring and Info sessions:
Meet-the-Students Online Panel: November 4th, 10:00 AM PST
Peer-to-Peer Application Mentoring Program registration deadline:
November 7th at 11:59 PM PST

Explore Our Department

Welcome to the Department of Biomedical Data Science

The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data.

Our Mission

The Department of Biomedical Data Science (DBDS) is an academic research community, comprised of faculty, students, and staff, whose mission is to advance precision health by leveraging large, complex, multi-scale real-world data through the development and implementation of novel analytical tools and methods.

What is Biomedical Data Science?

Biomedical Data Science “spans a range of biological and medical research challenges that are data intensive and focused on the creation of novel methodologies to advance biomedical science discovery.” The term “data science” describes expertise associated with taking (usually large) data sets and annotating, cleaning, organizing, storing, and analyzing them for the purposes of extracting knowledge. It merges the disciplines of statistics, computer science, and computational engineering” (Annual Review of Biomedical Data Science).


Data Studio: Cardiac Events after Radiation of Chemotherapy in Breast Cancer Patients
11/29 3-4:30 PM
What is the risk for breast cancer patients of cardiac events after either XRT+Chemo or Chemo?

Biomedical Data Science (DBDS) Graduate Program

Our mission is to train future research leaders to design and implement novel quantitative and computational methods that solve challenging problems across the entire spectrum of biology and medicine.