The Department of Population and Public Health Sciences is seeking a Postdoctoral Scholar Research Associate in computational or systems biology to study the fundamental molecular causes and mechanistic underpinning of human disease. A major focus is on cancer (at multiple organ sites), cardiovascular-, respiratory-, immune-related (inflammatory), and metabolic diseases. Of special interest are chronic diseases with modifiable risk factors, such as lifestyle, diet, and occupational/medicinal/environmental determinants. The overarching goal is to elucidate how the interplay of genetic, epigenetic, and transcriptomic changes contributes to the development of human cancer and other chronic diseases. We look for a highly motivated and competitive postdoc with detailed understanding and knowledge of genomic, epigenomic, and transcriptomic data processing and analysis, expertise in multi-omics data integration, and working experience with computational modeling and machine learning. The ideal candidate will be able to process and analyze high dimensional sequencing data of the genome, epigenome, and transcriptome, and perform network-based analysis (e.g., WGCNA) and functional enrichment analysis to identify key genes, including gene modules, drivers, and hubs, and their interaction networks that govern disease development in humans.
The successful candidate will be a recent Ph.D. graduate in computational biology, systems biology, computer sciences, bioinformatics, or related disciplines, with demonstrated expertise in machine-learning-based approaches, programming skills, proficiency in Python and R, skills in bash/Linux command-line, and experience in cloud cluster computing and database management. Candidates with successful publication record in peer-reviewed journals are preferred.
The annual base salary range for this position is $64,480.00- $65,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
Postdoctoral Scholar - Research Associate -
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