Post-doctoral researcher in computational virology

Post-doctoral researcher in computational virology

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Dr. Caleb Lareau, Assistant Professor, Computational and Systems Biology Program,
Memorial Sloan Kettering Cancer Center (MSKCC)

Dr. Kushal Dey, Assistant Professor, Computational and Systems Biology Program,
Memorial Sloan Kettering Cancer Center (MSKCC)

We are recruiting a creative postdoctoral researcher to lead interdisciplinary, collaborative projects jointly supervised by Dr. Caleb Lareau and Dr. Kushal Dey at Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center. The successful individual will:

  • Develop innovative computational strategies to decode the genetic architecture of the human virome and its impact on human diseases.
  • Build and optimize bioinformatics tools and pipelines to conduct large-scale genetic and gene-level association testing.
  • Interpret Post-GWAS/WES/WGS analyses with integration of functional genetic and genomic data to gain deeper insights into disease mechanisms.
  • Collaborate closely with experimental researchers from Lareau lab on experimental design informed by computational discoveries, including single-cell functional genomics assays

Recently, our labs have received significant NIH funding through the Human Virome Program (https://commonfund.nih.gov/humanvirome) to study how humans respond variably to the same viral infections. Our vision for this research is to leverage population-scale sequencing datasets and health records to identify genetic determinants and phenotypic variability of viral infections. At Memorial Sloan Kettering Cancer Center, we are particularly excited about the possibility of the human virome modulating the likelihood of oncogenic processes.

We welcome applications from candidates with a track record of creative scientific exploration in computational biology, genetics, bioinformatics, virology, or other related domains. Prior knowledge or expertise in computational virology is a plus but not essential. The applicant would be required to have prior experience working with large-scale biological data (omics, genetic, genomics), resulting in a high quality first/co-first author publication. The candidate must be proficient in computing, including expertise in Python/R and HPC environments

The candidate’s primary affiliation will be through the Sloan Kettering Institute, MSKCC located on the Upper East Side of New York City. It is part of the vibrant Tri-Institutional Research campus adjacent to Rockefeller University and Weill Cornell Medical College. Sloan Kettering offers competitive postdoc salaries and convenient subsidized housing. The candidate will have office space in the Computational and Systems Biology Program, MSKCC. The candidate will have weekly meetings with both Dr. Lareau and Dr. Dey and will be working closely with other collaborators. Flexible working arrangements, including remote work, are possibilities for the correct applicant.

To apply, please send a CV, a brief cover letter outlining your interest, and names/contact information for two references to both the following email addresses:

[email protected]

[email protected]