Genomics Researcher

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Process and perform quality checks on metabolomics, proteomics, and/or data produced by commercial vendors or university labs.

• Implement and troubleshoot workflows that convert raw instrument data into quantified metabolite or protein data.

• Develop, maintain, and document reproducible workflows for processing and analysis.

• Produce datasets that are ready for analysis, along with quality-control summaries and data dictionaries.

• Collaborate with laboratory and data-management partners to validate data deliveries, reconcile sample identifiers and metadata, harmonize datasets, and resolve data-quality issues.

• Conduct exploratory and statistical analyses under the guidance of the project investigator.

• Assist in the integration of metabolomics and proteomics data with other omics, clinical, phenotype, and environmental datasets.

• Support or lead genomic analyses, including genotype 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 or lead the writing of manuscripts and communicate processing decisions and analytical results to multidisciplinary teams.

• Assist in proposal development by providing technical sections related to data-processing workflows, analytical approaches, and resource requirements.

⛳️ Requirements

• A Master’s degree in Bioinformatics, Computational Biology, Biochemistry, Genetics, Statistics, or a related field, along with 6 years of relevant work experience.

• Experience in managing large biomedical datasets, validating sample and feature metadata, and analyzing high-dimensional data.

• Practical experience in processing metabolomics, proteomics, and/or omic data, including raw instrument data.

• Strong knowledge of platform-specific quality control, preprocessing, and the creation of analysis-ready datasets.

• Familiarity with bioinformatics tools and statistical methods for processing, analyzing, visualizing, and biologically interpreting omics data.

• Foundational understanding of human genetics and genomics, covering genetic variation, genome builds and annotation, linkage disequilibrium, population structure and genetic ancestry, as well as common genomic data formats like VCF, PLINK, FASTQ/BAM.

• Proficiency in R and/or Python, including the ability to write clear, reusable, and well-documented code.

• Experience working in a Unix/Linux environment.

• Excellent oral and written communication skills.

• Ability to collaborate respectfully and effectively with colleagues from various disciplines and research teams.

• Capability to manage multiple tasks concurrently.

• Must be legally authorized to work in the United States and must not require current or future sponsorship for employment visa status.

• Preferred: proficiency in high-performance computing and/or cloud computing environments, especially 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 including genotype quality control and imputation, GWAS, QTL mapping, DNA methylation array processing, or RNA-seq analysis using PLINK, SAIGE, or Bioconductor packages.

• Preferred: experience utilizing version control systems such as Git and workflow-management tools.

• Preferred: experience with data from human subjects research.

🏝️ Benefits

• Competitive base salary.

• Generous paid time off policy.

• Merit-based annual increases.

• Bonus opportunities.

• Robust recognition program.

• Competitive insurance plans, including health, dental, life, and both short-term and long-term disability.

• Retirement savings program, such as a 401(k) plan.

• Paid parental leave for all parents.

• Financial assistance for adoption expenses or infertility treatments.

• Financial reimbursement for education and developmental opportunities.

• Employee assistance program.

• Additional offerings to support a healthy work-life balance.