Bioinformatics - Assistant to Associate Professor, Non-Tenure Research Track
Rutgers Cancer Institute and Robert Wood Johnson Medical School seek applications for a non-tenure research track faculty in the field of bioinformatics at the Assistant or Associate Professor-level. The successful candidate will be a critical part of multidisciplinary team science for the innovative basic translational, clinical and population research at Rutgers Cancer Institute. They will provide state-of-the-art bioinformatics support to all Rutgers Cancer Institute research programs.
Academic rank will be commensurate with experience. As non-tenure research track faculty you will be expected to provide the majority of your effort (approximately 70% FTE) to supporting cancer projects led by established University Faculty and Cancer Institute members. As a service provider you are expected to bill your collaborators hourly using the billing software iLab. The incumbent will be offered approximately 30% of personal research time for their own cancer bioinformatics-related research efforts.
A PhD in bioinformatics or a relevant field along with a publication record showing a broad range of computational and analytical efforts is required. Experience and peer-reviewed publications that involve analysis of data from spatial transcriptomics, long-read sequencing, bulk and single-cell RNA sequencing, sgRNA CRISPR, ChIP-seq, and HLA typing and immunogenomic characterization experiments is advantageous. Experience with data mining of publicly available datasets such as TCGA, TARGET, DepMap, ICGC and with the development of machine learning approaches for complex datasets is also a plus.
For more information and to apply, please visit
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