Postdoctoral Scholar Research Associate in computational or systems biology

Location: United States
Application Deadline: Open until filled
Published: 3 weeks ago

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The Department of Population and Public Health Sciences is seeking a postdoctoral fellow in computational or systems biology to study the interplay of environment, genetics, and epigenetics in the etiology of cancer and other chronic diseases. We look for a highly motivated and competitive postdoc with expertise in processing and analysis of genomic and epigenomic data, experience in multi-omics data integration, and working knowledge of computational modeling and machine learning.

The ideal candidate will be able to analyze high dimensional sequencing data, 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 – $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.

Minimum Education: Ph.D. or equivalent doctorate within previous five years Minimum Experience: ~1 year Minimum Field ol Expertise: Directly related education in researdl specialization with advanced knowledge of equipment, procedures and analysis methods. Preferred Field of Expertise: Publications in peer-reviewed joumals in the same or related field.

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