Genomics & Multi-Omics Analyst (Remote)

RTI International; North Carolina; Remote; USD 83,000 - 101,000; Full time

Job summary

RTI International is seeking a Genomics Analyst to process, QC, and analyze genomics, metabolomics, proteomics, and other omics data. You will work with investigators, laboratory partners, and multidisciplinary teams to interpret complex datasets and contribute to human health research.

The role is available in Research Triangle Park, North Carolina, or remotely. A Master’s degree in a related field and strong programming skills are required; experience with high-dimensional data and genetics

Qualifications

• Master's degree in Bioinformatics, Computational Biology, Biochemistry, Genetics, Statistics, or related field with 1 year of relevant experience.
• Experience managing large biomedical datasets and analyzing high-dimensional data.
• Proficiency in R and/or Python; Unix/Linux experience; ability to write documented code.

Responsibilities

• Process and quality-check metabolomics, proteomics, and omics data; apply preprocessing and QC.
• Develop reproducible processing and analysis workflows; produce analysis-ready datasets.
• Coordinate with partners to validate data deliveries and harmonize datasets.
• Perform exploratory and statistical analyses; integrate omics data with other data types.
• Prepare tables, figures, methods descriptions, and technical reports; contribute to manuscripts.

Skills

R/Python

Unix/Linux

Git

AWS

Azure

Communication

Collaboration

Education

Master's degree in Bioinformatics, Computational Biology, Biochemistry, Genetics, Statistics

Tools

Olink

PLINK

Bioconductor

SAIGE

Job description

RTI International is seeking a Genomics Analyst to process, QC, and analyze genomics, metabolomics, proteomics, and other omics data. You will work with investigators, laboratory partners, and multidisciplinary teams to interpret complex datasets and contribute to human health research.

The role is available in Research Triangle Park, North Carolina, or remotely. A Master’s degree in a related field and strong programming skills are required; experience with high-dimensional data and genetics