Description
MILITARY VETERANS
The Department of Population and Public Health Sciences is seeking a postdoctoral fellow in computational or systems biology to study the interplay of environmental/lifestyle factors, genetics, and epigenetics in the etiology of cancer and other chronic diseases. We look for a highly motivated and competitive postdoc with a detailed understanding and knowledge of genomic and epigenomic 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, 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. Fixed term end date 12/31/2023. 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 candidates 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 – Job Code: 098227 Page 2JOB QUALIFICATIONS: Minimum Education:Ph.D. or equivalent doctorate within previous five yearsMinimum Experience:0-1 yearMinimum Field of Expertise:Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.Preferred Field of Expertise:Publications in peer-reviewed journals in the same or related field.Skills: Other:AnalysisAssessment/evaluationCommunication — written and oral skillsConceptualization and designOrganizationPlanningProblem identification and resolutionProject managementResearchStatistical analysisSkills: Machine/Equipment:CalculatorComputer network (department or school)Computer network (university)Computer peripheral equipmentFaxPersonal computerPhotocopierSupervises: Level:May oversee student, temporary and/or casual workers.