Employment

Below is a list of current open positions at RENCI. Ideal candidates should enjoy working with internationally known researchers and with the tools and technologies that comprise an advanced cyberinfrastructure. An interest in multidisciplinary research and in collaborating with researchers, including the development of new proposals, projects and programs, is expected. A Ph.D is required for Senior Research Scientist positions; a master's degree and/or a mix of professional experience and a bachelor's degree is required for software development positions.


Postdoctoral Research Associate

Renaissance Computing Institute
Postdoctoral Research Associate
Position #PDS002570

Position Summary

The postdoctoral research associate will have the responsibility to advance a number of research projects, working in close collaboration with RENCI investigators. The individual is expected to have skills and experience in Genetics, Biomedical Health Sciences, and/or Data Science and is expected to contribute to the development and execution of research projects in these areas. Specifically, the individual will assist the RENCI investigator on the Obesity Hub, which attempts to discover novel obesity biology th...

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Position Summary

The postdoctoral research associate will have the responsibility to advance a number of research projects, working in close collaboration with RENCI investigators. The individual is expected to have skills and experience in Genetics, Biomedical Health Sciences, and/or Data Science and is expected to contribute to the development and execution of research projects in these areas. Specifically, the individual will assist the RENCI investigator on the Obesity Hub, which attempts to discover novel obesity biology through a variety of techniques, including integration of multi-omics data with prior information into a knowledge graph upon which novel analytic approaches can be developed. The postdoctoral research associate will perform GWAS and -omics analysis, and develop methods to discover biological heterogeneity. Further, this individual will implement graph-analytic techniques to derive statistically-significant explanatory patterns from knowledge graphs containing integrated data and knowledge. The individual will also assist with preparing proposals and reports and disseminating research results through conferences and scholarly publications.

Educational Requirements

Candidate must possess a Ph.D. in genetics, bioinformatics, statistics, or a related field.

Qualifications and Experience

The ideal candidate will have experience in 1) conducting GWAS, especially in heterogeneous cohorts 2) graph databases, 3) Python (or other relevant programming languages), and 4) statistics and machine learning.

Equal Opportunity Employer

The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.

For more information and to apply, please visit https://unc.peopleadmin.com/postings/171922.

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