Post-doctoral position - University of California, Berkeley - Human
Evolutionary Genetics.

Description: 
The Moorjani Lab (https://moorjanilab.org/) at the University of
California, Berkeley uses computational and statistical methods to
investigate questions in human evolutionary genetics, in particular
to understand mutation rate evolution, 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 evolutionary events--e.g, introgression and
adaptation--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.

Recent publications from our lab:
Kerdoncuff E*, Skov L*, Patterson N, Banerjee J, Khobragade P, ,
Chakrabarti SS, Chakrawarty A, Chatterjee P, Dhar M, Gupta M,  John JP,
Koul PA, Lehl SS, Mohanty RR, Padmaja M, Perianayagam A 12, Rajguru
C, Sankhe L, Talukdar A, Varghese M, Yadati SR, Zhao W, Leung YY,
Schellenberg GD, Wang YZ, Smith JA, Dey S, Ganna A , Dey AB, Kardia
SLR, Lee J, Moorjani P. 50,000 years of Evolutionary History
of India: Impact on Health and Disease Variation. Cell 188 (2025):13,
3389-3404.e6.

Iasi LM*, Chintalapati M*, Skov L , Mesa AB , Hajdinjak M, Peter BM,
Moorjani P. Neandertal ancestry through time: Insights from genomes
of ancient and present-day humans. Science 386.6727 (2024): eadq3010.

Gao Z, Zhang Y, Cramer N, Przeworski M, Moorjani P. Limited role of
generation time changes in driving the evolution of the mutation spectrum
in humans. eLife (2023):12, e81188.

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.

Required qualifications:
Ph.D. or equivalent in genetics, genomics, computational biology
or related fields and demonstrated record of productivity and
publications. Experience with programming (e.g. C/C++, Python/ Perl,
R or other programming languages), genomic data analysis and methods
development.

Please contact Priya with your CV and a brief overview of research
questions you are interested in pursuing. Please also request three
recommenders to send a letter of reference on your behalf. The position
is open until filled.

Salary: 
This is a multi-year postdoctoral position (initial appointment is
for 24 months and renewable annually up to two more years). Salary is
commensurate with qualifications and experience.

Contact:
Priya Moorjani
Assistant Professor
Department of Molecular and Cell Biology
Center for Computational Biology
https://moorjanilab.org/
Email: moorjani@berkeley.edu

Priya G Moorjani <moorjani@berkeley.edu>

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