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Job ID: 128032

Postdoctoral Scholar - Human Evolutionary Genetics - QB3
University of California, Berkeley

Date Posted Aug. 23, 2019
Title Postdoctoral Scholar - Human Evolutionary Genetics - QB3
University University of California, Berkeley
Berkeley, CA, United States
Application Deadline Open until filled
Position Start Date Available immediately
  • Post-Doc
  • Biology - Genetics
    Biology - Developmental/Evolutionary

Postdoctoral Scholar - Human Evolutionary Genetics - QB3

The Moorjani Lab ( at University of California, Berkeley has a post-doctoral position available for motivated candidates with background in statistical population genetics and/or computational biology.

Our lab uses computational and statistical methods to investigate questions in human evolutionary genetics, in particular on mutation rate, demographic inference and archaic ancestry. A central aim in the lab is to understand the impact of evolutionary history on genetic variation and to apply this knowledge to learn about human history and disease. To this end, we use genetic data from ancient specimens and present-day species to learn about: (1) when key events (such as introgression and adaptations) occurred in human history, (2) how different evolutionary processes such as mutation rate evolve across primates, and (3) how we can leverage these patterns to identify genetic variants related to human adaptation and disease. The research in the lab involves both development of new methods and large-scale genomic data analysis.


A successful candidate will develop and apply computational approaches to large genomic datasets to characterize patterns of population history, disease and adaptation. The main responsibilities include conducting research, attending regular lab meetings and journal clubs, and preparing research results for publication and presentations at scientific meetings. Opportunities may also exist for mentoring graduate and undergraduate students.

Basic Qualifications required at the time of application:

  • Ph.D or equivalent international degree or enrolled in Ph.D or equivalent international degree program

Additional Qualifications must be met by the start of the job:

  • PhD or equivalent international degree
  • Programming experience (e.g. R, Python/ Perl, C/C++, or other programming languages)

Preferred Qualifications:

  • PhD degree in genetics, genomics, computational biology, biostatistics, population genetics, or related field.
  • Experience with genomic data analysis and methods development.
  • Demonstrated track record of productivity and publications.

Salary: This is a full-time position. Salary is commensurate with qualifications and experience.

To apply, please go to the following link:

Three letters of reference are required with the application. All letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality ( prior to submitting their letters.

This position will be open until filled. The appointment is for a duration of one year with possibility of renewal. Please address inquiries to Maria Ruiz,

University of California Postdoctoral Scholars are exclusively represented by the United Automobile, Aerospace and Agricultural Implement Workers of America (UAW). The union's (UAW 5810) website is Details concerning your benefits as a Postdoctoral Scholar are set forth in Article 3, "Benefits," of the UC-UAW Local 5810 Collective Bargaining Agreement (CBA). A copy of the CBA between the University of California and the UAW is located at:

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see:"/>


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