Mahan Postdoctoral Fellowship

Herbold Computational Biology Program

Mahan Postdoctoral Fellowship


Providing an exceptional scientist an early start on their career.

The Computational Biology Program of Fred Hutchinson Cancer Research Center in Seattle, Washington invites applications for the Mahan postdoctoral fellowship. The fellowship will provide an exceptional individual with an early start on their career as an independent scientist by providing a 21-month stipend to pursue their proposed research project in the laboratory of a Fred Hutch Computational Biologist mentor.

Faculty of any discipline or rank from the Fred Hutch, UW, or any other institute may be proposed as co-mentors. The project must be focused on a topic of biological interest, must involve a computational or mathematical component, and may include an experimental component. A laboratory trained scientist may satisfy the computational and mathematical requirement by including a training component in their proposal. Computationally strong candidates may include a laboratory training component as well. The research direction should reflect the interests and ideas of the applicant, although the final research proposal may be jointly designed; see Additional Information for more details on the application process and for a list of potential mentors.

Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. Recognized internationally for its pioneering work in bone-marrow transplantation, the Center’s five scientific divisions collaborate to form a unique environment for conducting basic and applied science. Fred Hutch, in collaboration with its clinical and research partners, the University of Washington and Seattle Children’s, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest.

Please direct all questions to Melissa Alvendia, Computational Biology Program Operations Director.

Application Overview


  • A Ph.D. awarded after June 2016 in a computational, quantitative or biological discipline.
  • The degree must be awarded prior to the start of the fellowship.
  • Applicants who have held faculty or scientific staff positions are not eligible.

Key Application Dates

Pre-application Deadline: January 14, 2019
Notifications to proceed with Full Proposals: January 31, 2019
Full Proposal Deadline: March 15, 2019
Notification of Final Selection: April 1, 2019
Earliest Start Date July 1, 2019

Application Process

Pre-Application Phase:
Submit a curriculum vitae, a 1-page (maximum) proposed research statement, one letter of recommendation, and (optional) select a primary mentor.

Pre-application materials are due January 14, 2019.

Final Application Phase (if invited):
Upon invitation by the review committee, please submit a three to five-page (maximum, single-spaced, font size 11pt) research statement (which may be co-written with the proposed mentor) and two additional letters of recommendation.

Full proposals are due March 15, 2019.

Additional Information:
The start date of the fellowship is flexible but should start within 1 year of the award.
Applicants may contact a potential mentor (see list below) but this is not required; mentors may be contacted to get a statement of interest in the area, to assess the lab resources to see if they are adequate, or other general questions. However, the research idea(s) in the research statement need to be substantively those of the candidate. Candidates who are invited to submit a full proposal may work more closely with the mentor at that time.

Eligible Faculty Mentors: 
Trevor Bedford
Alice Berger
Jesse Bloom
Phil Bradley
Robert Bradley
Raphael Gottardo
Gavin Ha
Kelley Harris
Ollivier Hyrien
Georg Luebeck
Erick Matsen
Harlan Robins
Rasi Subramaniam 

Please direct all questions to Melissa Alvendia, Computational Biology Program Operations Director.