Genomics & Multi-Omics Data Scientist (Remote)

RTI International; Durham (NC); Remote; USD 125,000 - 153,000; Full time

Job summary

RTI International is seeking an experienced Genomics Analyst to process, quality-control, and analyze genomics, metabolomics, and proteomics data generated through collaborative networks. The role supports multidisciplinary teams, with a strong foundation in human genetics, R/Python, and Unix/Linux.

The position can be in RTP, NC, or performed remotely. The candidate will develop reproducible workflows, validate data deliveries, and contribute to manuscripts and grant proposals.

Qualifications

• Master’s degree in a relevant discipline with 6 years of experience.
• Experience managing large biomedical datasets and ensuring data quality.
• Hands-on processing of omic data (metabolomics/proteomics) and producing analysis-ready data.
• Knowledge of bioinformatics tools, statistics, visualization, and interpretation.
• Foundational knowledge of human genetics, genome builds, LD, ancestry, and data formats (VCF/PLINK).
• Proficiency in R and/or Python; Unix/Linux experience; strong communication and collaboration skills.

Responsibilities

• Process and QC metabolomics, proteomics, and omics data across platforms.
• Develop and document reproducible data-processing workflows; produce datasets and QC summaries.
• Coordinate with labs and data-management teams to validate data deliveries.
• Conduct exploratory and statistical analyses; integrate omics with clinical/environmental data.
• Support genomic analyses: QC, imputation, GWAS, QTL mapping as needed.
• Prepare tables, figures, methods, and reports; contribute to manuscripts.

Skills

R & Python

Unix/Linux

Statistical methods

Data management

Strong communication

Education

Master’s degree in Bioinformatics, Computational Biology, Biochemistry, Genetics, Statistics, or related

Tools

Git

AWS

Azure

Bioconductor

Job description

RTI International is seeking an experienced Genomics Analyst to process, quality-control, and analyze genomics, metabolomics, and proteomics data generated through collaborative networks. The role supports multidisciplinary teams, with a strong foundation in human genetics, R/Python, and Unix/Linux.

The position can be in RTP, NC, or performed remotely. The candidate will develop reproducible workflows, validate data deliveries, and contribute to manuscripts and grant proposals.