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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 11, 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 Fellow in Medical and Molecular Genetics

Kokomo, IN • On-site

Indiana University Academic Positions
See more jobs at Indiana University Academic Positionsexternal

$42K - $58K/yr

Full-time

Re-posted 27 days ago

Job description

Position Details
Title Postdoctoral Fellow in Medical and Molecular Genetics Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Medical & Molecular Genetics Campus IU School of Medicine Indianapolis Position Summary
Postdoctoral Fellow in Neuropsychiatric Genetics
The Lai Laboratory in the Department of Medical and Molecular Genetics at the Indiana University School of Medicine is seeking highly motivated postdoctoral fellows to join our growing research team.

About the Lab
Our mission is to uncover the genetic and molecular basis of complex diseases and translate these discoveries into precision medicine. We develop computational and statistical methods while integrating human genetics, single-cell and multi-omics, large-scale biobank resources, and experimental disease models to identify disease mechanisms, discover therapeutic targets, and improve disease prediction, prevention, and treatment.
Our research focuses primarily on substance use disorders and neurodegenerative diseases, where we combine genomic discovery with functional validation and clinical investigation to develop clinically actionable polygenic scores, identify biomarkers and therapeutic targets, and advance genetically informed drug repurposing.
Our laboratory is supported by multiple NIH grants and internal funding and offers an outstanding collaborative environment with investigators across Indiana University and leading national and international research institutions. We are committed to helping postdoctoral fellows establish independent research programs through strong mentorship, high-impact publications, grant writing, and career development.
We especially welcome applicants with backgrounds in psychiatry, neuroscience, or neurobiology who are eager to develop expertise in statistical genetics and computational genomics. Our lab provides a collaborative environment with strong mentorship in quantitative methods, enabling fellows to integrate experimental and computational approaches to study complex brain disorders.
Responsibilities
The successful candidate will have the opportunity to:
  • Conduct innovative genetic and translational research in substance use disorders or neurodegenerative diseases.
  • Analyze large-scale genomic, single-cell, multi-omics, and biobank datasets.
  • Design research studies, analyze and interpret data, and prepare manuscripts for publication.
  • Present research at national and international conferences and organize scientific symposia.
  • Contribute to fellowship and NIH grant applications.
  • Lead independent research projects while collaborating with multidisciplinary teams.
  • Establish new scientific collaborations within and outside Indiana University.
Training and Career Development
Our goal is to prepare postdoctoral fellows for successful independent research careers. Fellows receive close mentorship and support from the PI, lab mates, and an interdisciplinary network of collaborators in genetics, neuroscience, psychiatry, computational biology and bioinformatics, statistics, and clinical research.
Training emphasizes:
Developing an independent research program
Publishing high-impact manuscripts
Scientific communication and leadership
Fellowship and NIH grant writing
Building a long-term academic career
This position is particularly well suited for candidates pursuing independent academic careers in psychiatric genetics, neurogenetics, or precision medicine.
IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.

Basic Qualifications
Required
  • PH.D. (or equivalent) in Psychiatry, Neuroscience, Neurobiology, Genetics, or related fields.
  • Strong interests in manuscript preparation and grant development.
  • Experience with statistical genetics, bioinformatics, genomics, or computational biology.
  • Experience using high-performance computing and/or cloud computing.
  • Ability to work independently as well as collaboratively in an interdisciplinary research environment.
  • Strong written and oral communication skills.
Preferred
  • Genome-wide association studies (GWAS)
  • Statistical genetics and polygenic scores
  • Single-cell RNA-seq, proteomics, or other multi-omics analyses
  • Artificial intelligence and machine learning
  • Biobank and electronic health record (EHR) analyses
  • Drug repurposing or translational genomics
  • R, Python, Linux or cloud computing platforms
Department Contact for Questions
Applicants should submit:
Curriculum Vitae
Brief statement of research interests and career goals
Contact information for three references
through the Indiana University academic careers portal via this link
https://indiana.peopleadmin.com/postings/34012
Applications will be reviewed on a rolling basis until the position is filled.

Dongbing Lai, Ph.D.
Associate Professor
Department of Medical and Medical Genetics
Center for Computational Biology and Bioinformatics
Indiana University School of Medicine
HS4059
410 W. 10th street, Indianapolis, IN, 46202
Email: dlai@iu.edu
Additional Qualifications Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02486-2026

Apply