Project Specialist

The Department of Population and Public Health Sciences is seeking a Project Specialist who can assist with an ongoing NIH-funded research on the health risks or potential benefits of new and emerging tobacco products, including electronic cigarettes (vape). We look for a highly motivated and competitive individual with detailed understanding and knowledge of genomic, epigenomic, and transcriptomic data processing and analysis, expertise in multi-omics data integration and interpretation, 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 integrative ‘omics’ data analysis for biomarker discovery.

The successful candidate will have a B.S. or M.S. degree in computational biology, computer sciences, bioinformatics, or related discipline; this individual must have 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 hourly range for this position is $29.40- $37.88. 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: Bachelor's degree Additional Education Requirements Combined experience/education as substitute for minimum education Minimum Experience: 2 years Minimum Skills: Directly related education and experience to be able to advise on project procedures and analysis techniques. Preferred Education: Master's degree Preferred Experience: 3 years