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Statistical Geneticist Jobs in Raleigh, NC (NOW HIRING)

Execute end-to-end testing plans for validation and review of SECU's statistical and qualitative ... genetic information, disability, veteran status, or other classification protected by law.

Statistical analysis and database management. * Conduct systematic reviews * Mixed-methods ... genetic information, national origin, race, religion, sex (including pregnancy and pregnancy ...

Statistical analysis and database management. * Conduct systematic reviews * Mixed-methods ... genetic information, national origin, race, religion, sex (including pregnancy and pregnancy ...

Supply Chain Planner

Garner, NC

$26.25 - $35.75/hr

Strong analytical and statistical knowledge. * Excellent interpersonal skills are required to ... genetic information, marital status, parental status, pregnancy, or any other status protected by ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... genetic information, or any other basis protected by law, ordinance, or regulation. HUBZone: We ...

Power BI Intern

Durham, NC · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... genetic information, or any other basis protected by law, ordinance, or regulation. HUBZone: We ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... veteran status, genetic information, physical or mental disability, medical condition, marital ...

Risk Modeling Services P&C - Director

Raleigh, NC · On-site

$134K - $410K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... statistical modelling and data analysis. Your work will generate valuable insights and ... disability; genetic information (including family medical history); veteran, marital, or ...

Research Specialist - Reddy

Raleigh, NC · On-site

$45K - $48K/mo

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct genetic sequencing, analysis, and antigenic characterization of poultry pathogens ... Analyze experimental results, perform statistical evaluations, and interpret findings to guide ...

The candidate should hold a PhD (or equivalent) in Computer Science, Biostatistics/Statistics ... genetic information, national origin, race, religion, sex (including pregnancy and pregnancy ...

The candidate should hold a PhD (or equivalent) in Computer Science, Biostatistics/Statistics ... genetic information, national origin, race, religion, sex (including pregnancy and pregnancy ...

Apply advanced statistical and computational approaches to investigate neural dynamics underlying ... genetic information, national origin, race, religion, sex (including pregnancy and pregnancy ...

Research Associate

Raleigh, NC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Essential Duties and Responsibilities Conduct Genetic Engineering and Gene Editing Research ... Collect, manage, analyze, and interpret experimental data using appropriate statistical and ...

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Statistical Geneticist information

See Raleigh, NC salary details

$62.5K

$82.9K

$98.8K

How much do statistical geneticist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for statistical geneticist in Raleigh, NC is $82,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $97,900.00 per year, depending on experience, location, and employer.

How do statistical geneticists typically collaborate with laboratory scientists and data analysts on research projects?

Statistical Geneticists often work closely with laboratory scientists to interpret experimental data and design studies that effectively capture genetic variation. They also collaborate with data analysts and bioinformaticians to manage large-scale genomic datasets, ensuring data quality and the correct application of statistical models. Effective communication between these roles is essential to translate statistical findings into biological insights, making teamwork a key part of daily responsibilities. This interdisciplinary environment provides opportunities to broaden both technical and collaborative skills.

What are the key skills and qualifications needed to thrive as a statistical geneticist, and why are they important?

To thrive as a Statistical Geneticist, you need a solid background in genetics, statistics, and bioinformatics, typically with a PhD in genetics, statistics, or a related field. Expertise in programming languages such as R or Python, experience with genetic analysis software (e.g., PLINK, GCTA), and familiarity with high-throughput genomic data are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These skills ensure accurate interpretation of complex genetic data, meaningful scientific discoveries, and successful collaboration within multidisciplinary research teams.

What is a statistical geneticist?

As a statistical geneticist, your duties are to develop novel statistical methods to model and interpret the data contained in human genetic material. Your responsibilities depend on the branch of statistical genetics in which you work. Your models must be built to aid in specific types of research, such as population genetics, epidemiology, or quantitative genetics, and help other scientists analyze their experiments and results. You work closely with researchers in other fields of computational biology, such as physicians, clinicians, molecular biologists, and bioinformatics researchers.

What is a statistical geneticist?

A statistical geneticist is a scientist who uses statistical methods to study the genetic basis of traits and diseases in populations. They analyze large datasets, such as genome-wide association studies (GWAS), to identify genetic variations linked to specific health conditions or traits. Statistical geneticists often collaborate with biologists, clinicians, and data scientists to design studies, develop new methodologies, and interpret genetic data. Their work helps advance our understanding of how genes contribute to complex diseases and traits, which can inform medical research and healthcare.

What is the difference between Statistical Geneticist vs Bioinformatician?

AspectStatistical GeneticistBioinformatician
Required CredentialsMaster's or PhD in Genetics, Statistics, or related fieldsMaster's or PhD in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, academic institutions, healthcare companiesResearch labs, biotech firms, healthcare organizations
Industry UsageGenetics research, disease association studies, personalized medicineGenomic data analysis, software development, data management

While both roles involve working with genetic data, Statistical Geneticists focus on applying statistical methods to understand genetic variations and disease associations. Bioinformaticians develop computational tools and analyze large-scale biological data. The roles often overlap but differ mainly in their core focus: statistical analysis versus computational tool development.

What are popular job titles related to Statistical Geneticist jobs in Raleigh, NC? For Statistical Geneticist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Statistical Geneticist jobs in Raleigh, NC look for? The top searched job categories for Statistical Geneticist jobs in Raleigh, NC are:
Infographic showing various Statistical Geneticist job openings in Raleigh, NC as of August 2026, with employment types broken down into 2% Internship, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $82,868 per year, or $39.8 per hour.

Full-time

Re-posted 2 days ago


State Employees' Credit Union (North Carolina) rating

8.2

Company rating: 8.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

If you are motivated and believe in the credit union philosophy of "People Helping People," join our team!
Position Overview:
Assist in the development, implementation, and maintenance of the Model Risk Management (MRM) program within SECU through the development and validation of statistical models, qualitative models, and models developed with other quantitative algorithms.
Essential Responsibilities:
  • (40%) Execute model validation activities across the model life-cycle including model validations, ongoing performance evaluation, and tracking model findings to ensure models across SECU are conceptually sound relative to their intended use and performing appropriately. Execute end-to-end testing plans for validation and review of SECU's statistical and qualitative models with oversight and guidance from supervisor and other senior validation staff.
  • (30%) Validate the performance and controls of statistical models using provided model development documentation and communications with model developers. Document and present findings to management and model owners.
  • (10%) Provide input for enhancements to the model risk management framework, including maintaining model inventory and model risk rankings.
  • (10%) Develop and maintain effective partnerships within SECU, particularly with model owners, model developers and data analysts.
  • (10%) Assist in implementation of, and adherence to, the MRM Policy and associated model risk SOPs across SECU.

Required Education & Experience (Knowledge, Skills, & Abilities):
  • Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field)
  • 3+ years of experience in modeling or analytics
  • Ability to assess model conceptual design, backtesting of model results, assumptions, controls over data flows, model execution, and compliance of model results with intended application by model users.
  • Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to review code written by others for accuracy and efficiency, with minimal guidance from supervisor.
  • Academic and/or professional understanding of advanced mathematical and statistical modeling techniques, including logistic regression, time series analysis, linear regression, Monte Carlo simulation, Artificial Intelligence/Machine Learning (AI/ML) techniques, etc.
  • Demonstrated ability to contribute to multiple projects simultaneously under guidance from supervisor.
  • Strong oral and written communication skills. Experience contributing to detailed technical validation reports and/or model development documentation.
  • Strong attention to detail and the ability to understand and analyze complex modeling and analytical challenges with some guidance from supervisor and senior staff.
  • Perform job functions independently with some day-to-day oversight from supervisor.

Preferred Education & Experience (Knowledge, Skills, & Abilities):
  • Masters in quantitative discipline
  • Experience in financial services or consulting industry
  • Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR, ALM, loan pricing and/or mortgage servicing rights, derivatives, Compliance (BSA/AML/OFAC), Liquidity, or Fraud
  • Subject matter expertise in generative large language models (Artificial Intelligence)

Job Environment & Physical Requirements:
  • Hybrid expectations
  • Sitting for prolonged periods
  • Computer for prolonged periods

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.
Disclaimer
State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.

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