Employment Type: Permanent Staff (EHRA NF)

Vacancy ID: NF0004634

Salary Range: $37,500 - $57,000

Position Summary/Description:

The UNC Integrated Genomics Cores and Bioinformatic and Analytics Research Collaborative (BARC) is looking for a Research Associate/Analyst.

The analyst will provide bioinformatics and analytical support to a large cancer-focused project, and act as a consultant and analyst to projects in the UNC research community for BARC and a precision medicine initiative (https://www.med.unc.edu/ppmh/).

Of top priority BARC projects are COVID-19 genomics analyses, such as those on resistance mutation detection, host-pathogen interactions, and innate immune response to the virus in humans. Additionally, the analyst will be applying data science concepts and machine learning algorithms to electronic health record (EHR) data to solve clinical informatics problems for a precision medicine initiative. Other BARC projects will include DNA-Seq and RNA-Seq analyses, custom downstream analysis, and data visualization.

This position will spend 35% of its time providing bioinformatics and analytics support to cancer studies that use RNA-Seq data, 35% of its time consulting and providing bioinformatics support for COVID-19 studies and others from BARC, 15% of its time applying data science to projects on precision medicine and EHR data, and 15% of its time coordinating internships in the BARC. The Research Associate will be expected to provide practical mentorship and training to BARC Interns and support workshops on bioinformatics.

Familiarity with genomic data, electronic health record data and 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, cancer or genomics is helpful but not required.
-Strong candidates will also have experience analyzing electronic health record data, RNA-Seq, and viral data data

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.