Employment Type: Permanent Staff (EHRA NF)

Vacancy ID: NF0008483

Salary Range: Dependent on Qualifications

Position Summary/Description:

The UNC Integrated Genomics Cores and Bioinformatic and Analytics Research Collaborative ( BARC ) is looking for a Junior Research Associate/Analyst.The analyst will provide technical and analytical support for SOM bioinformatic and genomics software, and act as a consultant and analyst to projects in the UNC research community for BARC . Other BARC projects will include DNA -Seq and RNA -Seq analyses, custom downstream analysis, and data visualization.This position will spend 25% of its time providing technical and analytics support for software tools, 35% of effort supporting enterprise genomics tools and databases, 30% of its time consulting and providing bioinformatics support for other BARC projects, and 10% effort supporting the education and outreach mission of the BARC The Research Associate will be expected to support workshops on bioinformatics.Familiarity with genomic data, translational research and databases/ health informatics is strongly preferred; background in biology is helpful but not required. Must be able to work independently and as a part of a diverse team.Skills:- Advanced ability to code in a scripting language (Python or Perl), Pandas- Proficiency with R or similar statistical language- SQL is a plus- Experience working in a HPC environment- Familiarity with current open-source bioinformatics tools for sequencing analysis- Familiarity with electronic health record data a plus.

Education and Experience:

• This position requires expertise in a scripting language (Python or Perl), and proficiency in a statistical language like R- A background in biology, biomedical research, cancer or genomics is helpful but not required.- Strong candidates will also have experience analyzing electronic health record data and other types of large metadata datasets, RNA -Seq, or cancer data analysis.

Essential Skills:

• Advanced ability to code in a scripting language (Python or Perl), Pandas- Proficiency with R or similar statistical language- Experience working in an HPC /cloud environment- Familiarity with current open-source bioinformatics tools for sequencing analysis- Familiarity with single-cell genomics

AA/EEO Statement:

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.