Post-doctoral position Professor Moorjanis Lab QB3 Institute

University of California, Berkeley
United States CA Berkeley
apptrkr.com/1205271

Description

Recruitment Period
Open date: April 16th, 2018 Next review date: May 1st, 2018
Apply by this date to ensure full consideration by the committee. Final date: May 17th, 2018
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Description

Description:
The Moorjani Lab (moorjanilab.org/) at University of California, Berkeley has a post-doctoral position available for motivated candidates with background in statistical population genetics and/or data science.

Our lab focuses on using statistical and computational approaches to study questions in human genetics and evolutionary biology. 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 biology. 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.

Responsibilities:

A successful candidate will develop and apply computational approaches to large genomic datasets to characterize patterns of population history and evolution. 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.

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

This position will be open until filled. The anticipated start date is May 2018. The appointment is for a duration of one year with the possibility of annual renewal up to three years. Please address inquiries to Maria Ruiz, maruiz@berkeley.edu.

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: policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.

Job location
Berkeley, CA

Requirements
Documents


Curriculum Vitae - Your most recently updated C.V.



Cover Letter



Statement of Research - One-page summary of research interests

References

3 references required (contact information only)


Qualifications

Minimum/Basic Qualifications required at the time of application:
• Completion of all doctoral degree requirements except the dissertation in genetics, computational biology, biostatistics, population genetics or related fields.

Additional Qualifications (required by start date):
• PhD or equivalent degree in genetics, computational biology, biostatistics, population genetics or a related field.
• Knowledge of statistics and population genetics theory.
• Demonstrated record of research productivity and publications.
• Programming experience (e.g. C/C++, Python/ Perl, R or other programming languages)

Preferred Qualifications:
Experience with large-scale genomic data analysis.


Start date

As soon as possible

How to Apply

How to apply:

To apply, please go to the following link: apptrkr.com/1205271

Applicants should submit the following materials:

• A cover letter
• A curriculum vitae
• Statement of Research (One-page summary of research interests)
• Contact information for 3 references

Letters of reference are not required at this time. We will seek your permission before contacting your references. 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: apo.berkeley.edu/evalltr.html.