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Genetic Gwas Polygenic Risk Scores Jobs (NOW HIRING)

Genomics

Lead Scientist

Durham, NC · On-site

You are fluent in genomic data analysis at scale, comfortable with large genetic datasets, GWAS, polygenic risk scores and related methodologies. Success in this role demands a robust grasp of ...

Genomics Ltd

Lead Scientist

Triangle, VA · On-site

You are fluent in genomic data analysis at scale, comfortable with large genetic datasets, GWAS, polygenic risk scores and related methodologies. Success in this role demands a robust grasp of ...

Genomics

Lead Scientist

Raleigh, NC · On-site

You are fluent in genomic data analysis at scale, comfortable with large genetic datasets, GWAS, polygenic risk scores and related methodologies. Success in this role demands a robust grasp of ...

MyOme

Scientist, Computational Biology

Menlo Park, CA

$130K - $150K/yr

Experience constructing integrated multi-omic risk scores or combining omics with Polygenic Risk ... genetic level * Enjoy rolling up your sleeves, taking initiative, and being empowered to lead

UC Davis Health

Genetic Counselor 2

Sacramento, CA · On-site

$51.47 - $67.87/hr

The expanding glaucoma division will incorporate Polygenic Risk Score (PRS) assessments to better identify inherited susceptibility to glaucoma and disease progression. Genetic evaluation is also ...

CommonSpirit Health

Research Scientist I

Phoenix, AZ · On-site

Demonstrated experience with GWAS data analysis, population genetics, or single-cell genomics ... Experience with pathway analysis, polygenic risk scores, or Mendelian randomization is a plus

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Genetic Gwas Polygenic Risk Scores information

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$99K

$191.8K

$384K

How much do genetic gwas polygenic risk scores jobs pay per year?

As of Sep 10, 2026, the average yearly pay for genetic gwas polygenic risk scores in the United States is $191,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $168,500.00 and $190,500.00 per year, depending on experience, location, and employer.

What are Genetic GWAS polygenic risk scores?

Genetic GWAS Polygenic Risk Scores (PRS) are numerical values that estimate an individual's genetic predisposition to certain traits or diseases based on the combined effects of many genetic variants identified through Genome-Wide Association Studies (GWAS). These scores are calculated by summing the effects of thousands of single nucleotide polymorphisms (SNPs), with each SNP contributing a small amount to the overall risk. PRS are increasingly used in research and clinical settings to understand genetic risk, guide personalized medicine, and inform preventive healthcare strategies. However, their predictive power can vary across populations and traits, and they should be interpreted with caution.

How do Genetic GWAS polygenic risk scores analysts typically collaborate with multidisciplinary teams in research settings?

Analysts working with Genetic GWAS Polygenic Risk Scores often collaborate closely with bioinformaticians, statisticians, clinicians, and data scientists. They play a key role in translating genomic data into actionable risk scores, requiring regular communication to align on project goals and interpret results. Effective collaboration involves discussing data quality, statistical methods, and clinical implications, ensuring the findings are robust and meaningful. This multidisciplinary teamwork fosters innovative solutions and enhances the accuracy and utility of polygenic risk assessments.

What are the key skills and qualifications needed to thrive as a Genetic GWAS polygenic risk scores analyst, and why are they important?

To thrive in this role, you need a solid background in genetics, biostatistics, and epidemiology, often supported by an advanced degree (e.g., MSc or PhD) in a relevant field. Proficiency with statistical programming languages (such as R or Python), GWAS analysis tools (like PLINK or BOLT-LMM), and experience handling large-scale genomic datasets are typically required. Strong analytical thinking, problem-solving ability, and effective communication skills are crucial for interpreting complex results and collaborating across multidisciplinary teams. These skills are essential to accurately identify genetic associations, develop reliable polygenic risk scores, and translate findings into actionable insights for research or clinical applications.

What is the difference between Genetic Gwas Polygenic Risk Scores vs Genetic Counselor?

AspectGenetic Gwas Polygenic Risk ScoresGenetic Counselor
Required CredentialsBioinformatics, statistical geneticsMaster's in genetics or counseling, certification
Work EnvironmentResearch labs, data analysis settingsClinical settings, patient consultations
Industry UsageGenomic research, risk prediction modelsPatient education, genetic testing guidance
Common Search/ComparisonGenetic risk scores, polygenic scoringGenetic counseling, genetic risk assessment

While Genetic Gwas Polygenic Risk Scores focus on analyzing genetic data to predict disease risk, Genetic Counselors work directly with patients to interpret genetic information and provide guidance. Both roles are integral to genetics but serve different functions within the industry.

What other helpful pages are available for Genetic Gwas Polygenic Risk Scores?

Other pages related to Genetic Gwas Polygenic Risk Scores:

Infographic showing various Genetic Gwas Polygenic Risk Scores job openings in the United States as of September 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $191,763 per year, or $92.2 per hour.

Lead Scientist

Durham, NC • On-site

Genomics
See more jobs at Genomicsexternal

Other

Medical, Life, Retirement, PTO

Posted 23 days ago

Key responsibilities

  • Frame and structure complex genomic analyses to address scientific questions.

  • Translate genomic results into clear, actionable insights for internal teams and external partners.

  • Manage scientific projects from end to end, including timelines, scope, and stakeholder expectations.

Job description

Location: Durham, North Carolina (Hybrid)

The Mission: Why We Exist

Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics.

Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.

A Day in the Life

No two projects look the same, but a typical week might see you framing the right scientific question for a complex genomic analysis, then structuring the work so your team can run with it. You make the decisive calls when a problem is ambiguous or novel, and you roll up your sleeves on the toughest analyses yourself rather than watching from the sidelines.

You might act as strategic consultant to an external pharma or biotech partner in the morning - fielding sharp technical questions in real time - and mentor a junior colleague through a tricky method in the afternoon. Throughout, you are translating dense genomic results into clear, actionable insight, spotting delivery risks before they become problems, and keeping one eye on scientific quality and the other on scope, timelines and the partner experience.

Who You Are

You are a scientist who has moved beyond individual contribution and wants genuine ownership of outcomes. You hold a PhD (or equivalent experience) in a quantitative life-science discipline - genomics, bioinformatics, computational biology, statistics or a closely related field - and you have led complex scientific projects from end to end, managing timelines, scope and stakeholder expectations along the way.

You are fluent in genomic data analysis at scale, comfortable with large genetic datasets, GWAS, polygenic risk scores and related methodologies. Success in this role demands a robust grasp of statistical human genetics, applied inventively in a partner-facing environment: you excel at unravelling complex genomic data and have a knack for translating raw findings into actionable consulting insights, working collectively with both your highly skilled internal team and external partners.

You communicate with equal ease whether presenting to a non-specialist audience or debugging a method at your desk, you make sound analytical judgements under uncertainty, and you work naturally across teams. Most of all, you are ready to start bringing others up with you.

Your Package

We are committed to providing a transparent, supportive, and rewarding work environment.

Compensation & Growth

  • Competitive Salary: Salaries are externally benchmarked annually to ensure top-of-market compensation.

  • Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.

  • Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.

Wellbeing & Time Off

  • Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end.

  • Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance.

  • Enhanced Leave: Enhanced paid family leave to support all new parents.

Work Environment & Culture

  • Flexible Working: Hybrid Working (e.g., From our London, Oxford Office)

  • Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you.

  • Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.

  • Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.

Ready to Build the Future?

We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.

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