Job:Postdoc University of Minnesota Population Genomics Cavefish
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8.0 years ago

In collaboration with most of the US-based cavefish labs, we have generated whole genome resequencing data. The postdoctoral position would include analysis of these data and writing manuscripts. In addition, the successful candidate would gather data for some work on recombination, stress, and aging and help with maintenance of the lab.

The postdoc will be a 'go-to' person in our group for troubleshooting everyday computational and molecular methods, and therefore seek applicants with extreme persistence and patience, as well as excellent communication skills. In addition to the duties above, the postdoc will be encouraged to develop an independent research project that complements ongoing research in the McGaugh lab and submit this as an NIH-NRSA within the first year of employment. If the candidate desires an opportunity to hone teaching skills, opportunities to guest-lecture in large enrollment classes may also be arranged.

A background in genomics is preferred.

There is flexibility in the start date, but ideally the candidate would start by Summer or Fall 2015. The position is initially available for one year with additional renewals contingent on performance. A longer appointment may be based on both performance and funding.

Interested applicants should send a preliminary inquiry with CV, references, and statement of why you are interested in joining the lab to [smcgaugh AT umn d0t edu ] prior to submitting an application.

Completed applications should be submitted via the UMN website and should include: a CV, a cover letter describing your interest and suitability, undergraduate and graduate transcripts (if applicable), contact information for three references.

Job opening ID- 300477

For more information on the McGaugh lab see

Minimum Qualifications

  1. A PhD in genomics, evolution, genetics, or related fields (by the start of employment)
  2. Experience with next-gen sequence data and a unix/command line interface.
  3. Demonstrated ability to produce high-quality publications.
  4. A desire to help lead an integrative and motivated group of young scientists.
  5. Patience, dedication, flexibility, and enthusiasm.
  6. Excellent communication skills.

Preferred Qualifications

  1. Working knowledge of population genetics
  2. Working knowledge/interest of the genetics underlying aging, stress, and recombination.
  3. Experience with scripting/programming languages including R, python, and/or C++

Suzanne McGaugh (

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