Postdoctoral Scholar

University of Chicago, Institute for Genomics and Systems Biology, Section of Genetic Medicine
Job Location
Chicago, IL
Job Description

Multiple positions are available for creative and motivated postdoctoral scholars in the group of Barbara Stranger at The University of Chicago, in the Institute of Genomics and Systems Biology and the Section of Genetic Medicine. The researcher(s) will be involved in integrative analysis of a variety of types of human genomics data, including protein expression, RNA-Seq, DNA-Seq, SNPs, DNA methylation, etc.

 Current research in the lab includes (1) genetic basis of gene regulation, (2) transcriptional network and pathway analysis; (3) comparative and population genomics; (4) functional genomic data integration and data mining; and (5) detection of disease susceptibility genes/networks. Project topics include understanding the role of genetic and epigenetic variation on transcriptional regulation in healthy human cohorts and across a variety of cell-types and tissues, the contribution of that variation to higher order phenotypes including cancer and immune and neuropsychiatric diseases, and the role of sex in shaping disease risk, and elucidation of the evolutionary forces shaping functional variation in humans.

 We are funded members of the Analysis working group of the NIH Genome Tissue Expression (GTEx) Consortium, and the lab was recently awarded an ‘extended GTEx’ grant to investigate the genetic basis of protein expression in GTEx tissues. We work closely with the Center for Data Intensive Science at the University of Chicago and are members of the Conte Center for Computational Neuropsychiatric Genomics.



- A Ph.D. in bioinformatics, statistical genetics, genomics, population genetics, or other relevant fields of statistical biology required.

- Research experience (with strong first-author publications) in computational genomics, statistical genetics, molecular evolution, population genetics, or a closely-related field required. 

- Strong analytical, statistical, quantitative, and computational/programming skills, ideally in C or C++ as well as perl, python, matlab, or R required.

- Experience with large data sets, distributed computing (cluster or cloud), and databases required.



-Experience in analysis of DNA-seq, RNA-seq, and other next-gen -omics data, as well as experience constructing complex biological networks.

-Background in genomics or population genetics.

-Candidates with a multidisciplinary background, spanning both life sciences and quantitative sciences are especially encouraged to apply.

How to Apply

To formally apply, please send both of the following in PDF format to Barbara Stranger (bstranger AT uchicago DOT edu):

1. A curriculum vitae, including names of 3 referees.

2. A statement describing current and future research goals

About Our Organization

The University of Chicago Institute for Genomics and Systems Biology is an engine for discovery that utilizes the latest approaches in genome analysis, high throughput screening, and biological computation.We aim to improve human health through genetics and genomics approaches to understanding human health and disease.

The Section of Genetic Medicine continues to shape the future of personalized medicine with successful research programs focused on the quantitative genetic and genomic science. The Section conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology to identify genetic risk factors for common, complex disorders with clinical application.


The University of Chicago is an Affirmative Action / Equal Opportunity / Disabled / Veterans Employer.

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