Postdoctoral Fellow, Computational Biology and Toxicology
At the Janssen Pharmaceutical Companies of Johnson & Johnson, we are working to create a world without disease. Transforming lives by finding new and better ways to prevent, intercept, treat and cure disease inspires us. We bring together the best minds and pursue the most promising science. We are Janssen. We collaborate with the world for the health of everyone in it. Learn more at www.janssen.com and follow us @JanssenGlobal. Janssen Research & Development, LLC is part of the Janssen Pharmaceutical Companies.
A grand challenge for toxicogenomics (TGx) is the development of accurate predictions of toxicology outcomes from gene expression changes. Unraveling the relationship requires sufficient levels of information to appropriately categorize the toxicological outcomes and the focused gene signatures. Academia and consortia quests are often constrained by having limited published data sets. Janssen is in a unique position of having a significant number of internal compounds with both TGx data and extensive toxicology information. Drug compounds inducing similar apical toxicity endpoints, such as drug-induced liver injury (DILI), may have a variety of mechanisms and molecular initiating events (MIE), therefore generate diverse gene expression changes that do not share a common gene signature. We will apply proprietary methods to further categorize internal and external compounds of the same toxicities, then assess the possibility to develop transcriptomic biomarkers for each molecular mechanism of a toxicity.
This position will collaborate with cross functional scientists in multiple disciplines, including computational biology, quantitative sciences, pathology, toxicology, and others. This project aims to identify gene signatures for toxicities common to Janssen compounds, develop an analysis workflow for toxicology studies, and publish novel findings.
RESPONSIBILITIES:
Summarize toxicity findings and prioritize the ones common to Janssen compounds and having abundant inter and external data
Identify and categorize molecular mechanisms of selected toxicities
Identify gene signatures of each toxicity mechanisms
Validate gene signatures and develop predictive methods
QUALIFICATIONS
REQUIRED:
Required Minimum Education: PhD in Computational Biology, Systems Biology, Biostatistics, or a related discipline
Proficiency in microarray, RNA-Seq, and other genomics data analysis
Proficiency in statistical analysis, preferably using R
Experience with toxicogenomics and other toxicology data analysis and interpretation
Excellent communication, reporting and writing skills
Excellent team player and collaborator, a self-starter and quick learner. Ability to work independently
PREFERRED:
Experience with data management and computing in a cloud environment
Experience with large scale data collection, processing, integration, and meta-analysis
Familiarity with toxicology principles and a reasonable understanding of pathology
Understanding of and familiarity with toxicology outcomes
PRIMARY LOCATION
United States-California-San Diego-3210 Merryfield Row
ORGANIZATION
Janssen Research & Development, LLC (6084)
JOB FUNCTION
R&D
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