[Hiring] Genomics Analyst @Research Triangle Institute

Role Description

The Center of GenOmics and Applied Public Health at RTI International has an opening for an experienced Genomics Analyst focused on processing, quality control, and analysis of genomics, metabolomics, proteomics, and/or data generated by collaborative research networks. Working with investigators, laboratory partners, and multidisciplinary project teams, the analyst will analyze and interpret complex datasets and contribute to research on human health and disease. This position is available in Research Triangle Park, North Carolina, or remotely.

• Process and quality-check metabolomics, proteomics, and/or data generated using various platforms by commercial providers or university laboratories.
• Implement and troubleshoot platform-appropriate workflows to convert raw instrument data into quantified metabolite or protein data.
• Develop, maintain, and document reproducible processing and analysis workflows; produce analysis-ready datasets, quality-control summaries, and data dictionaries.
• Coordinate with laboratory and data-management partners to receive and validate data deliveries.
• Conduct exploratory and statistical analyses under the guidance of project investigators.
• Support the center’s broader genomic analyses as needed.
• Prepare tables, figures, methods descriptions, and technical reports; contribute to manuscripts.
• Support proposal development by providing input on technical sections.

Qualifications

• Master’s degree in Bioinformatics, Computational Biology, Biochemistry, Genetics, Statistics, or a related discipline, with 1 year of relevant work experience.
• Experience managing large biomedical datasets, validating sample and feature metadata, and analyzing high-dimensional data.
• Hands-on experience processing metabolomics, proteomics, and/or other omics data.
• Working knowledge of bioinformatics tools and statistical methods for omics data processing, analysis, visualization, and biological interpretation.
• Foundational knowledge of human genetics and genomics.
• Proficiency in R and/or Python, including writing clear, reusable, and well-documented code.
• Experience working in a Unix/Linux environment.
• Strong oral and written communication skills.
• Ability to collaborate respectfully and effectively with colleagues across disciplines and research teams.
• Ability to manage multiple tasks simultaneously.
• Legally authorized to work in the United States and should not require sponsorship for employment visa status.

Preferred Qualifications

• Proficiency in working in high-performance computing and/or cloud computing environments, particularly AWS or Microsoft Azure.
• Experience with commercial proteomics platforms, such as Olink.
• Experience with both metabolomics and proteomics, cross-study harmonization, multi-omics integration, or pathway and enrichment analyses.
• Experience with genetic analyses, such as genotype quality control and imputation, GWAS, QTL mapping.
• Experience using version control, such as Git, and workflow-management tools to support reproducible analyses.
• Experience with human subjects research data.

Benefits

• Competitive base salary.
• Generous paid time off policy.
• Merit-based annual increases and bonus opportunities.
• Robust recognition program.
• Competitive range of insurance plans (including health, dental, life, and disability).
• Access to a retirement savings program such as a 401(k) plan.
• Paid parental leave for all parents.
• Financial assistance with adoption expenses or infertility treatments.
• Financial reimbursement for education and developmental opportunities.
• Employee assistance program.
• Numerous other offerings to support a healthy work-life balance.

Hiring Salary Range

$83,000 - $101,000