Genomics Analyst

🔥 1 minute ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $83k - $101k / year

⏰ Full Time

🟢 Junior

🧐 Analyst

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RTI International

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1958

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

RTI International is an independent nonprofit research institute dedicated to improving the human condition through science-based solutions in climate, education, health, and equity. The institute engages in multidisciplinary research spanning diverse areas such as health care, international development, environmental sciences, and social and economic justice. RTI International collaborates with a wide range of partners including governments, businesses, universities, and non-profit organizations to conduct research and provide technical services. It aims to impact global wellbeing by leveraging expertise in fields such as climate change solutions, education reform, public health, food security, and more. RTI International also emphasizes corporate responsibility, sustainability, and commitment to quality and ethics in its operations.

📋 Description

• Process and quality-check metabolomics, proteomics, and/or data generated by commercial providers or university laboratories • Clean, filter, normalize, assess missing data, and evaluate batch effects in omics datasets • Implement and troubleshoot workflows converting 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 data deliveries with laboratory and data-management partners • Validate data, reconcile sample identifiers and metadata, harmonize datasets across batches or studies, and resolve data-quality issues • Conduct exploratory and statistical analyses under project investigator guidance • Support integration of metabolomics and proteomics data with other omics, clinical, phenotype, and environmental data • Support genomic analyses including genotype data quality control and imputation, genome-wide association studies, and protein or metabolite quantitative trait locus mapping • Prepare tables, figures, methods descriptions, and technical reports • Contribute to manuscripts and communicate processing decisions and analytical results to multidisciplinary teams • Support proposal development with input on technical sections, analytical approaches, workflows, and resource needs

🎯 Requirements

• 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, including raw instrument data • Strong understanding of platform-specific quality control, preprocessing, and generation of analysis-ready datasets • Working knowledge of bioinformatics tools and statistical methods for omics data processing, analysis, visualization, and biological interpretation • Foundational knowledge of human genetics and genomics, including genetic variation, genome builds and annotation, linkage disequilibrium, population structure and genetic ancestry, and common genomic data formats such as VCF, PLINK, FASTQ/BAM • 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 • Must be legally authorized to work in the United States and must not require now or in the future sponsorship for employment visa status • Preferred: proficiency in high-performance computing and/or cloud computing environments, particularly AWS or Microsoft Azure • Preferred: experience with commercial proteomics platforms such as Olink and mass spectrometry-based metabolomics or proteomics workflows • Preferred: experience with metabolomics and proteomics, cross-study harmonization, multi-omics integration, or pathway and enrichment analyses • Preferred: experience with genetic analyses such as genotype quality control and imputation, GWAS, QTL mapping, DNA methylation array processing, or RNA-seq analysis, using tools such as PLINK, SAIGE, or Bioconductor packages • Preferred: experience using version control such as Git and workflow-management tools • Preferred: experience with human subjects research data

🏖️ Benefits

• Generous paid time off policy • Merit based annual increases • Bonus opportunities • Robust recognition program • Competitive range of insurance plans, including health, dental, life, and short-term and long-term disability • 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 • Other offerings to support a healthy work-life balance

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