Northwestern University Feinberg School of Medicine
Northwestern University
Clinical and Translational Sciences Institute

A CTSA partner accelerating discoveries toward human health

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Biomedical Data-Driven Discovery Training

The Biomedical Data Driven Discovery (BD3) Training Program at Northwestern University brings together Big Data educators and scientists from the Feinberg School of Medicine, the McCormick School of Engineering and Applied Science, the Weinberg College of Arts and Sciences and the School of Communication. Its goal is to train future scientists who will go on to develop novel Big Data methods that will advance science and improve health.

The submission period is March 12 to May 20, 2018.

Please direct questions about the program to Lindsay Varasteh at 312-503-1997.

Eligibility Requirements

Applicants are considered based on:

  • Status in a doctoral program, typically at the end of their first year (though other years may be considered)
  • Strength of the study plan and its potential for success and impact on field 

  • A biomedical Big Data focus for the student’s planned dissertation research
  • Evidence of the student’s commitment to a career in research
  • Commitment to completing the BD3 curriculum and a doctoral degree
  • Performance during the first year of doctoral training
  • Status as a U.S. citizen or permanent resident

Application Information

To be considered, complete an application in NITRO Competitions. You will need to provide:

  • A study/personal statement (one to two pages) explaining what attracts you to Big Data/bioinformatics, your career goals, scientific interests and how you see your participation in the program enabling you to reach your goals.
  • A one to two paragraph description of a potential research project, with input from the student's planned dissertation advisor. If the student has selected a dissertation topic, this should be described, otherwise a topic in the general area can be described.
  • Contact information for the student's research advisor, who will submit a letter of recommendation.
  • Most recent transcript
  • A current CV
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Participating Institutions: