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Bioinformation and Computation

University of Virginia School of Medicine, University of Virginia Cancer Center, Charlottesville, Virginia

Position Description:

An immediate NIH-funded postdoctoral Research Associate position is available in the Laboratory of Dr. Bhatnagar for a project focusing on triple negative breast cancer and tumor microimmune environment. My laboratory has broad interest in identification of targetable epigenetic readers, writers and erasers for which we use large-scale and focused loss-of-function shRNA and CRISPR/Cas9 genetic screens. We routinely use small molecule inhibitors, RNAi, immunotherapies and nanoparticles to generate effective cancer therapies. 

To support our current ongoing activities, we are seeking a dynamic and highly motivated individual who will be responsible, as a member of the team, for implementing computational analyses, data management as well as providing computational and analysis support for a range of activities. Expertise will be applied to answer key biological questions exploring molecular abnormalities (genetic and epigenetic) which contribute to normal biological processes and pathogenesis of disease. 

The candidate is expected to support and participate in integrative analyses of large datasets generated from clinical and functional genomics data from in-house experiments and/or available public repositories, by developing and applying computational pipelines mainly focused on next generation sequencing data and other large-scale datasets. For additional information about the project, contact Dr. Bhatnagar (; 


    • A PhD in bioinformatics, computer science, computational biology, or related field
    • Demonstrated expertise in bioinformatics, scientific computing, and genomic data analysis using computational and statistical tools
    • A minimum of two years’ experience with large-scale computational and statistical analyses, and analysis of gene expression and epigenomics data using R and/or Python or other languages
Required skills:
    • Advanced proficiency with Unix/Linux environment, and R/Bioconductor for data analysis
    • Proficiency with Python, Perl, or another scripting language
    • Experience with open-source software, tools, and databases for analyzing next-generation sequencing data (RNA-seq, ChIP-seq, DNA variation, epigenetics, microbiome, and metagenomics)
    • Excellent written and oral communication skills are essential for expected interdisciplinary and collaborative projects and contributions to grant and manuscript preparation
    • Proficiency with graphics/visualization software for genomics
    • Proficiency in Unix/Linux computing environment, data management and organization, and general programming knowledge and ability to automate tasks using scripting languages such as bash, perl, python, R, or Java

There will be opportunities for training to complement current skills, and we envision numerous collaborations with other outstanding computational scientists at UVA. The applicant would join a thriving and highly interactive research team including cancer biologists, hematologists, and computational biologists.

The selected candidate will be required to complete a background check prior to their first day of employment per University policy.

This position will be open until filled.

* This is a one year restricted position, continuation will be based on availability of funding and satisfactory performance. * 

To Apply:

PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search “Find Jobs”, and search for “R0022685".  

PROCESS FOR EXTERNAL APPLICANTS: Please visit UVA job board, and search for “R0022685”

Complete an application online and attach:
  • CV/Resume
  • Cover Letter
  • Contact information for 3 references

 ***Please note that you MUST upload ALL documents into the CV/Resume box.

Applications that do not contain all of the required documents will not receive full consideration.

For questions about the application process please contact Rhiannon O'Coin, Senior Academic Recruiter,


The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.