Senior Omics Research Scientist Principal Investigator
Durham, NC, USA | Research Triangle Institute
Job Description:94 people have viewed this job
The Center for Omics Discovery and Epidemiology (CODE) of RTI International has an opening for a senior scientist, parallel to an Associate- to Full-level Professor, to lead and expand a program of research and its staff to integrate multiple omics data for complex human diseases. RTI provides a strong infrastructure for omics research through a consolidated organization of 4 parallel Centers within the Biostatistics and Epidemiology Division: Center for Bioinformatics; Center for Genomics in Public Health and Medicine; Center for Newborn Screening, Ethics, and Disability Studies; and CODE. Overall, our researchers work across many practice areas, including genetics and epigenetics, epidemiology and public health, environmental exposures, health disparities, biostatistics, and bioinformatics with high-performance computing. CODE researchers emphasize cross-institute and university collaborations to advance understanding of the etiology of common complex human diseases, including but not limited to substance use disorders and related health consequences, blood disorders, and respiratory traits, in ethnically and geographically diverse cohorts. The candidate needs a strong analytic background, as evidenced by development of novel statistical methods and/or application of cutting-edge approaches in any area of complex human disease. This position enables pursuit of a full time, independently-driven, research-focused agenda with the autonomy to collaborate internally and/or externally. This position has no teaching commitments.
This position is available in the Research Triangle Park area of North Carolina or Atlanta, Georgia.
Lead the submission of grant/contract/cooperative agreement proposals as Principal Investigator and support the submission of others as Co-Investigator.
Lead analyses of multiple omics (e.g., genomics, epigenomics) and/or environmental data for complex human diseases/traits using sophisticated statistical methods, machine learning, and/or artificial intelligence.
Publish findings in peer-reviewed journals in lead and support authorship roles.
Lead the design and management of new and ongoing data collection activities.
Mentor other staff in data analyses and interpretation, preparation of manuscripts, and extramural funding proposal submissions.
Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Statistical Genetics, Genetic Epidemiology, or related discipline with at least seven years beyond PhD that includes independent research experience
Proven track record in securing funding by federal government or foundation entities.
Active area of independent research with proposal-ready preliminary results developed.
Demonstrated background in a substantive area of complex human diseases.
Strong quantitative and technical skills and concrete knowledge of analytic methods is required.
Ability to mentor analytic staff, who are working in a cloud computing environment, is required.
Strong oral and written communication skills.
Ability to manage multiple projects simultaneously.
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