Job Offers

The Department of Biochemistry and Molecular Genetics at the University of Virginia (https://bmg.med.virginia.edu)<https://bmg.med.virginia.edu%29/> has an immediate opening for a researcher with a computational biology/bioinformatics background to join our team.  We are seeking a dynamic and highly motivated individual who will be responsible, as a member of the team, for implementing computational analyses as well as addressing method development projects. Expertise will be applied to answer key biological questions exploring molecular abnormalities which contribute to the pathogenesis of Myeloid Disorders (including, but not limited to, Acute Myeloid Leukemia and Myeloproliferative Neoplasms).
 

The candidate is expected to execute integrative analyses of large datasets generated from clinical and functional genomic 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. The work will be performed under the supervision of faculty members (Dr. Francine Garrett-Bakelman and Dr. Stefan Bekiranov) and in collaboration with staff at the UVA Cancer Center, Medicine and Biochemistry and Molecular Genetics Departments, as well as other collaborators in the US and internationally.  The applicant would join a thriving and highly interactive research team including cancer biologists, hematologists, and computational biologists.
 

Qualifications include a PhD degree in bioinformatics, computer science, computational biology, biostatistics or related field, experience with large-scale computational and statistical analyses, analysis of gene expression and epigenomics data sets, and integrative analysis approaches using computational and statistical tools. PhD candidates in their final year of study are welcome to apply.


 

Interested individuals are invited to send Dr. Garrett-Bakelman a letter of interest, CV, brief research statement (1 page maximum) describing key accomplishments and publications using computational biology approaches, and a list of three professional references to fg5q@virginia.edu.