A position is available for a motivated and detail-oriented team-player, looking for bioinformatician/ data scientist. The position is part of a newly established research group in the Center for Cellular Immunotherapies (CCI) known as the Translational Immunology Laboratory (TIL). The research in TIL is aimed at a) studying the tumor microenvironment in chronic lymphocytic leukemia and other malignancies using single cell genomic and proteomic technologies and b) understanding and improving the anti-tumor efficacy of adoptively transferred gene-modified T cells through correlative, mechanistic, and pre-clinical studies, and partly through functional genomics approaches. We seek a talented, experienced, and highly motivated bioinformatician/data scientist with a keen interest in translational immunology and a track record in deriving biological insight into response to therapies from clinical and correlative analyses. This position will collaborate very closely with data scientists and clinicians in at UPenn, the Children’s Hospital of Philadelphia, and domestic and international collaborators, aimed at expanding our world-class analytical pipeline in support of ever-improving patient outcomes and scale-out of therapies pioneered at UPenn. Our group studies clinical trials evaluating novel gene therapies using cutting-edge cellular, biochemical, and molecular analytics, including RNA-seq and ATAC-seq in bulk populations and single cells, and high dimensional flow and mass cytometry and targeted proteomics. This, together with clinical response evaluations and laboratory data, creates unique data sets for the exploration of the spatiotemporal dynamics of the biomarkers and create network models to understand the biology of our therapy and develop predictive models of therapy potency and toxicity (e.g. PMID 27076371, 26333935). This position requires a self-motivated individual with strong interpersonal skills, who thrives in a team and matrix organization. There is a strong focus on the implementation of analytics pipelines for high dimensional data sets derived from comprehensive, multi-layered data sets to understand and predict response to our targeted therapy.
DUTIES: (Description should be brief and only include principle duties.)
1. Responsible for computational analyses of biomedical research data, including cellular, molecular, biochemical, and clinical biomarkers and data. 2. Implement and execute high dimensional data analysis platform(s) for flow cytometric data sets, including CyTOF data. Software includes Citrus, viSNE 3. Implement genomics data analysis platforms used for whole exome sequencing, RNA sequencing (single cell and bulk), and ATAC-seq (single cell and bulk) 4. Develop an integrated data analysis pipeline, integrating genetic, biochemical, and cellular data along with clinical data points into a systems analysis approach to identify biomarkers of response and develop models of immune intervention 5. Work closely with staff and faculty statisticians and bioinformaticians, facilitating constant interactions, training and support. 6. Become an integral member of CCI with intellectual involvement in projects and close interactions with researchers
Internal Number: 44259
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