Duties: The University of Pennsylvania's Product Development & Correlative Sciences laboratory (http://somapps.med.upenn.edu/pdcs/) at Dr. Carl June's Center for Cellular Immunotherapies (http://www.med.upenn.edu/cci/) is seeking 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. As a member of the correlative sciences community at CCI this position will collaborate very closely with data scientists and clinicians in PDCS and across CCI, and at UPenn, 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 supports clinical trials evaluating novel gene therapies (see http://www.sciencemag.org/news/2016/06/human-crispr-trial-proposed as an example) with 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.
Qualifications: The minimum qualification of a Master's degree in bioinformatics, biostatistics, computer science, data science, informatics, or equivalent and at least 3 years of data analysis experience or an equivalent combination of experience and education are required. PhD is a plus. The candidate is expected to be an expert in next-generation sequencing and multidimensional data analysis platforms and methods, including flow cytometry data sets, and the ability to integrate large data sets. This individual will also be responsible for the generation of associated analysis tools and workflows. These tasks require knowledge in scripting/programming and common standard tools and algorithms. In addition, the candidate should have a sound knowledge of statistical methods and machine learning as well as fluent programming skills in R/Bioconductor. Experience with Linux or UNIX-like operating systems is preferred. A candidate with a good working knowledge of immunology and biomarker research is preferred. The candidate must exhibit a strong verbal and written communication skills and work well in a team environment. Furthermore, the candidate is expected to be able to effectively translate and communicate results.
Reference Number: 40-25355
Salary Grade: 028
Employment Type: Exempt
Org: CI-Center for Cellular Immunotherapy
Special Requirements: Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
Job Family: I-Technical/Professional Research