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Job Description Summary
The CORONA (COvid19 Registry of Off-label & New Agents) project is the world's largest database dedicated to identifying and tracking all treatments reported to be administered to COVID-19 patients. Housed within the Center for Cytokine Storm Treatment & Laboratory (CSTL) at the University of Pennsylvania, CORONA is providing real-time data and insights to guide clinical trial design and inform the global effort to identify treatments for COVID-19 in partnership with Google Health, FDA, Parker Institute for Cancer Immunotherapy, and others.
Due to the major unmet need, the CSTL, in partnership with the Division of Translational Medicine & Human Genetics and the Fajgenbaum lab, is now expanding CORONA to include a new STORM (Systematic Tracker Of Repurposed/new Medicines) tool and searching for a talented, experienced, and motivated bioinformatician/computational biologist to perform analyses on this expansive dataset and generate meaningful insights. In addition to continuing to track all treatments administered to COVID-19 patients, STORM will also integrate and track all pre-clinical treatment data and clinical trial data and enable the search for treatment patterns, identification of promising drugs that need to be evaluated in clinical trials, and facilitate the development of recommendations to strengthen the global effort to combat COVID-19. In one place, government agencies, academic researchers, philanthropic organizations, and biopharmaceutical companies will be able to access all data at no cost on all potential treatments for COVID-19. The bioinformatician/computational biologist will be tasked with conceptualizing and developing analytical plans, supporting database development, performing analyses of data in CORONA and external data sources, interpreting results, and collaborating with government, industry, philanthropic, and academic partners to achieve our overarching goal of accelerating the identification of effective COVID-19 treatments. This position offers the opportunity to contribute to a major national initiative directed against COVID-19 and interface broadly with internal and external (federal government, pharmaceutical collaborators, non-profit partners, external academic collaborators, etc.) stakeholders from around the world to assure rapid progression of the science towards medical breakthroughs that help patients. Beyond COVID-19, there are exciting opportunities to perform analyses to elucidate understanding of other cytokine storm disorders with major unmet medical need. The CSTL combines 'omic analyses of patient biospecimens, hypothesis-driven basic science research, and clinical data analyses to discover and pursue novel therapeutic approaches for cytokine storms through clinical trials and adoption in clinical practice. A talented bioinformatician/computational biologist is needed to perform these multi-omic analyses.
Qualified candidates will have expertise in bioinformatics/computational biology, familiarity with virology, immunology, and drug repurposing, and experiences performing relevant analyses. This is a unique opportunity to join a highly motivated, patient-focused team that works closely with international collaborators and the federal government to make and publish novel discoveries that will have a significant impact on patients who have COVID-19 and other diseases with major unmet medical need.
Conceptualizing and developing analytical plans, supporting database development, and performing analyses to accelerate the identification of effective COVID 19 treatments.
Collaborating with government, industry, philanthropic, and academic partners to achieve our overarching goal of accelerating the identification of effective COVID-19 treatment.
Recruit, train, manage, supervise, and mentor graduate students, fellows, and scientific collaborators. This duty includes troubleshooting projects both independently and as part of a team within specified timelines.
Work closely with the STORM Leadership Team to support long term planning of the database and analytic infrastructure and extraction of COVID-19 treatment data.
Perform multi-omic analyses and clinical data analyses to discover and pursue novel therapeutic approaches for cytokine storms.
Perform additional duties as assigned.
***Position is contingent upon funding***
+ MS + 5-7 years of a combination of relevant academic and work experience or equivalent combination of education and experience (e.g., PhD + 3-5 years) in bioinformatics/computational biology.
+ Strong experience with database development and computational analyses required
+ Experience performing computational analyses of immunology data required
+ Expertise in either R or Python programming languages strongly preferred
+ Experience performing enrichment and/or pathway analyses with Ingenuity, GSEA, Reactome, KEGG, or other similar databases strongly preferred
+ Familiarity with human immunology, virology, and drug repurposing a plus
+ Experience with analyzing and interpreting high throughput drug screen data a plus
+ Experience analyzing real-world data a plus
+ Experience analyzing clinical trial data a plus
+ Self-starter with a strong desire to contribute and work collaboratively to achieve goals
+ Ability to work independently and apply critical thinking and sound judgment
Working ConditionsOffice, library, computer roomPhysical EffortTypically sitting at a desk or table
Job Location - City, State
Department / School
Perelman School of Medicine
$72,837.00 - $138,391.00
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