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Bioinformatics Gwas Jobs (NOW HIRING)

CommonSpirit Health

Research Scientist I

Phoenix, AZ · On-site

Ph.D. in Genetics, Bioinformatics, Computational Biology, Statistical Genetics, or related field * Demonstrated experience with GWAS data analysis, population genetics, or single-cell genomics

Howard University

CZI Post Doctoral Fellow

Washington, DC · On-site

$60K - $70K/yr

... computational bioinformatics models, and neurobiological systems will be required. PRINCIPAL ... GWAS), next-generation sequencing data, or electronic health records, to identify genetic variants ...

Triveni Bio

Director, AI and Data Science

Watertown, MA · On-site

$240K - $255K/yr

Exposure to bioinformatics tools and pipelines (e.g., Omics analysis, variant calling) and statistical human genetics methods (e.g., GWAS/PheWAS, fine-mapping, colocalization, Mendelian randomization ...

Triveni Bio

Director, AI and Data Science

Watertown, MA · On-site

$240K - $255K/yr

Exposure to bioinformatics tools and pipelines (e.g., Omics analysis, variant calling) and statistical human genetics methods (e.g., GWAS/PheWAS, fine-mapping, colocalization, Mendelian randomization ...

Axle

Data Scientist II

Rockville, MD · On-site

Bioinformatics Workflow and Data Pipeline Development: Design, build, and maintain reproducible ... metagenomics, GWAS). * Analytical Skills: Solid understanding of statistical modeling ...

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Bioinformatics Gwas information

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$59.5K

$94.5K

$149.5K

How much do bioinformatics gwas jobs pay per year?

As of Sep 10, 2026, the average yearly pay for bioinformatics gwas in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a bioinformatics GWAS?

A Bioinformatics GWAS (Genome-Wide Association Study) is a research approach that uses computational and statistical methods to analyze genetic data from many individuals to find associations between genetic variants and traits or diseases. Bioinformatics specialists working with GWAS are responsible for handling large datasets, running analyses to identify significant genetic markers, and interpreting the results in a biological context. This work helps to understand the genetic basis of complex traits and can inform medical research, drug development, and personalized medicine.

What are some typical challenges faced by bioinformaticians working on GWAS projects, and how can they be addressed?

Bioinformaticians working on GWAS (Genome-Wide Association Studies) often encounter challenges such as handling large-scale genomic data, ensuring data quality, and managing computational resources efficiently. Another common hurdle is the interpretation of statistically significant variants, which requires both biological insight and advanced analytical skills. Collaborating closely with geneticists, statisticians, and clinicians is crucial for overcoming these challenges, as interdisciplinary teamwork helps validate findings and integrate them into meaningful biological contexts.

What are the key skills and qualifications needed to thrive as a bioinformatics GWAS specialist, and why are they important?

To thrive as a Bioinformatics GWAS specialist, you need a strong background in genetics, statistics, and computer science, typically supported by a relevant degree such as bioinformatics or computational biology. Proficiency in programming languages like Python or R, experience with GWAS analysis pipelines, and familiarity with genomic databases are essential. Attention to detail, analytical thinking, and effective communication are crucial soft skills for interpreting complex data and collaborating with research teams. These skills enable accurate identification of genetic associations, effective data analysis, and impactful contributions to genomic research.

What is the difference between Bioinformatics Gwas vs Bioinformatics Analyst?

AspectBioinformatics GwasBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Genetics, or related fields; experience with GWAS toolsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills
Work EnvironmentResearch labs, academic institutions, biotech companiesResearch institutions, healthcare, biotech firms
Employer & Industry UsageGenetics research, disease association studiesData analysis, software development, data management
Common Search & Comparison IntentUnderstanding GWAS-specific roles within bioinformaticsGeneral bioinformatics data analysis roles

Bioinformatics Gwas specialists focus on genome-wide association studies, analyzing genetic variants linked to traits or diseases. Bioinformatics Analysts have broader roles in data processing and analysis across various projects. While both require bioinformatics skills, Gwas roles are more specialized in genetic association research, whereas Analysts handle diverse bioinformatics tasks.

What other helpful pages are available for Bioinformatics Gwas?

Other pages related to Bioinformatics Gwas:

Infographic showing various Bioinformatics Gwas job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Postdoctoral Scientist/Assistant Staff Scientist - Nath Lab

Oklahoma City, OK • On-site

Oklahoma Medical Research Foundation
Scientific Research and Development Services • 201 - 500 employees
Learn more about Oklahoma Medical Research Foundationexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Molecular Immunology and Functional Genomics of Lupus
The Nath Lab at the Oklahoma Medical Research Foundation (OMRF) seeks an outstanding Postdoctoral Scientist or Assistant Staff Scientist to join our multidisciplinary research team investigating the molecular mechanisms through which non-coding genetic variants identified by genome-wide association studies (GWAS) contribute to Systemic Lupus Erythematosus (SLE) and other autoimmune diseases.

This position is ideal for a highly motivated molecular biologist with strong expertise in immunology who is interested in applying cutting-edge genomic technologies and artificial intelligence to elucidate the functional consequences of disease-associated genetic variation.

Research Program
Genome-wide association studies have identified hundreds of genetic loci associated with SLE and other autoimmune diseases, and the vast majority of risk variants are located in non-coding regions of the genome. The central challenge is determining how these variants influence gene regulation and immune cell function.

Our laboratory integrates computational genomics, molecular biology, functional genomics, and immunology to elucidate the molecular mechanisms underlying disease-associated variants. We investigate multiple regulatory mechanisms, including: enhancer and promoter activity, alternative RNA splicing (sQTLs), gene expression regulation (eQTLs), chromatin accessibility and epigenetic regulation, and three-dimensional chromatin interactions.

Responsibilities
The successful candidate will:

  • Functionally characterize non-coding GWAS variants associated with SLE and related autoimmune diseases.
  • Design and perform molecular biology experiments to determine how regulatory variants alter gene function.
  • Perform assays including:
    • Reporter gene (luciferase) assays
    • Minigene splicing assays
    • CRISPR/Cas9 genome editing (knockout, knock-in, CRISPRi, CRISPRa)
    • Gene expression analyses (RT-qPCR, RNA-seq)
    • Protein expression analyses (Western blot)
    • Chromatin and regulatory assays
  • Culture and manipulate human immune cell lines and primary immune cells.
  • Perform immunological assays including flow cytometry, T-cell activation, cytokine profiling, proliferation, apoptosis, and related functional studies.
  • Collaborate with computational biologists to integrate GWAS, functional genomics, and AI-based genomic predictions.
  • Analyze experimental data and contribute to publications and grant applications.

Minimum Qualifications

  • Ph.D. in a biological science, chemistry, physics or other relevant area, M.D., or equivalent.

The successful candidate should demonstrate:

  • Strong experimental skills in molecular biology
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively
  • Strong publication record appropriate for career stage

Preferred Qualifications

Applicants should have expertise in several of the following areas:

  • Molecular biology
  • Immunology
  • Functional genomics
  • Human genetics
  • CRISPR genome editing
  • Cell culture of mammalian and immune cells
  • RNA biology and gene regulation
  • Flow cytometry
  • Next-generation sequencing
  • Bioinformatics or computational biology (preferred but not required)

Programming experience in R or Python is advantageous.

OMRF Overview
Founded in 1946, the Oklahoma Medical Research Foundation (OMRF) is among the nations oldest, most respected independent, nonprofit biomedical research institutes. OMRF is dedicated to understanding and developing more effective treatments for human diseases, focusing on critical research areas such as Alzheimers disease, cancer, lupus, multiple sclerosis, and cardiovascular disease. OMRF follows an innovative cross-disciplinary approach to medical research and ranks among the nations leaders in patents per scientist.

Located in Oklahoma City, a city that offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy, OMRF has been voted one of the Top Workplaces since the inception of the award. This achievement has been accomplished thanks to OMRF individuals who share a unified understanding that our excellence can only be fully realized with a collective commitment to our mission, . . . so that more may live longer, healthier lives. Successful candidates will demonstrate commitment to this mission.

OMRF Benefits
We offer competitive salaries and comprehensive benefits to full-time employees including medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, and paid holidays. All employees have access to our onsite caf, free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro. Learn more about our benefits here.

OMRF is an Equal Opportunity Employer.

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