The Research Associate/Senior Bioinformatics Scientist position will provide bioinformatics support to clinical genomics and precision medicine research projects with scientific oversight and guidance from Dr. Bradford Powell, MD, PhD, and Dr. Jonathan Berg, MD, PhD, who are collaborating on several related projects. These projects require processing and high-level analysis of genomic sequence data to support research questions driven by ongoing translational genomic medicine projects. The successful candidate will lead efforts to develop new and existing computational pipelines and analysis software, and contribute to the analysis and interpretation of the data that are generated. The position will emphasize collaborative work with colleagues at UNC, including extensive interactions with the Renaissance Computing Institute bioinformatics group.
This individual will serve as the senior member of the bioinformatics team in the Berg/Powell research groups within the UNC Department of Genetics. The research associate will contribute to NIH-funded research projects (NCGENES 2 and ClinGen) as well as the UNC School of Medicine Program for Precision Medicine in Health Care.
Education and Experience:
Major responsibilities of this position include managing and overseeing implementation of a broad range of bioinformatics tools needed to support genomic medicine research.
The ideal candidate will also be well-versed in genetics and genomic medicine. Candidates must have previous experience in management of small development groups or possess the interpersonal skills to supervise other junior members of the team.
Programming experience should include: scripting languages used to manipulate large datasets and develop reproducible analysis pipelines (e.g., Python or R); UNIX/Linux and high-throughput research cluster computing; SQL/relational databases (other non-SQL database experience would be useful. Experience with standard genomics packages used for variant calling (BWA, Broad best practices, FreeBayes) is preferred. Other non-SQL database experience would be useful. Experience with development of both computational APIs and web-based user interfaces would be ideal.
Qualified candidates will demonstrate effective verbal and written communication, excellent analytical and problem solving skills, attention to detail, and hold high professional standards for their own work and that of others. Preference for candidates with a PhD in bioinformatics, computational biology, or computer science.
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.
Internal Number: 157080
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