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Statistical Genetics Jobs in Phoenix, AZ (NOW HIRING)

Intel

Thermal Quality and Reliability Engineer

Phoenix, AZ · On-site

$101K - $128K/yr

Preferred Qualifications - Proficiency in statistical process control, reliability modeling, and ... genetic information, military and veteran status, marital status, pregnancy, gender, gender ...

Western Alliance Bank

Model Risk Analyst

Phoenix, AZ · On-site

Apply statistical, financial, economic, and business expertise to conduct independent model ... genetic information. Western Alliance Bancorporation is committed to working with and providing ...

Reli Group Inc

Power BI Intern

Scottsdale, AZ · 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 ...

Reli Group Inc

Power BI Intern

Chandler, AZ · 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 ...

Reli Group Inc

Power BI Intern

Mesa, AZ · 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 ...

Reli Group Inc

Power BI Intern

Phoenix, AZ · 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 ...

Reli Group Inc

Power BI Intern

Glendale, AZ · 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 ...

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All JobsStatistical Genetics JobsStatistical Genetics Jobs in Phoenix, AZ

Statistical Genetics information

See Phoenix, AZ salary details

$64.6K

$85.7K

$102.2K

How much do statistical genetics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for statistical genetics in Phoenix, AZ is $85,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $101,200.00 per year, depending on experience, location, and employer.

What does a statistical geneticist do?

A statistical geneticist analyzes genetic data using statistical methods to identify genetic factors associated with traits or diseases. They often work with large datasets, employ software tools like R or Python, and collaborate with researchers to interpret genetic information for research or clinical purposes.

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 strong background in genetics, statistics, and bioinformatics, often supported by an advanced degree (such as a PhD) in genetics, statistics, or a related field. Expertise with analytical tools like R, Python, PLINK, and genome-wide association study (GWAS) software, as well as familiarity with large-scale genetic datasets, is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills are crucial for generating meaningful genetic insights, advancing research, and ensuring accurate analysis in complex genetic studies.

How to become a statistical geneticist?

To become a statistical geneticist, typically a candidate needs a bachelor's degree in genetics, statistics, or a related field, followed by a master's or Ph.D. in statistical genetics, bioinformatics, or computational biology. Developing skills in programming languages like R or Python, understanding genetic data analysis, and gaining experience through research or internships are also important steps.

What are some typical collaborative projects a statistical geneticist might work on within a multidisciplinary research team?

Statistical Geneticists frequently collaborate on projects involving genome-wide association studies (GWAS), analysis of large-scale sequencing data, and development of new statistical methods for genetic data interpretation. These projects often require close teamwork with bioinformaticians, laboratory scientists, clinicians, and data analysts to design studies, interpret findings, and translate genetic discoveries into clinical or biological insights. Such collaborations offer opportunities to contribute specialized statistical expertise while learning from other disciplines, ultimately advancing both scientific understanding and career growth.

What is the difference between Statistical Genetics vs Bioinformatics?

AspectStatistical GeneticsBioinformatics
Required CredentialsDegree in Genetics, Statistics, or related fieldsDegree in Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, academic institutions, healthcare settingsResearch labs, biotech companies, healthcare institutions
Industry UsageGenetic research, disease association studies, population geneticsGenomic data analysis, sequence alignment, data management

Statistical Genetics focuses on analyzing genetic data using statistical methods to understand inheritance and disease associations, while Bioinformatics emphasizes developing computational tools for managing and interpreting biological data. Both roles often collaborate but serve distinct functions within genetic research and healthcare industries.

What is statistical genetics?

Statistical genetics is a field of study that combines statistics and genetics to analyze and interpret genetic data. It focuses on understanding the genetic basis of traits and diseases by applying statistical methods to data from genome-wide association studies, family studies, and population genetics. Statistical geneticists develop models and tools to map genes that contribute to complex traits, estimate heritability, and predict genetic risk. Their work supports advances in personalized medicine, agriculture, and evolutionary biology.
What are popular job titles related to Statistical Genetics jobs in Phoenix, AZ? For Statistical Genetics jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Statistical Genetics jobs in Phoenix, AZ look for? The top searched job categories for Statistical Genetics jobs in Phoenix, AZ are:
Statistical Genetics jobs near you
Infographic showing various Statistical Genetics job openings in Phoenix, AZ as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $85,666 per year, or $41.2 per hour.

Research Scientist I

St Joseph Hospital & Medical Center

Phoenix, AZ • On-site

$43.10 - $64.11/hr

Full-time

Re-posted 26 days ago

Job description


Job Summary and Responsibilities

As our Research Scientist, you will leverage your deep scientific knowledge to support and facilitate the organization's research programs and projects. You are expected to apply various scientific principles to drive innovation.
Every day you will design and execute rigorous laboratory research, contributing to ongoing studies through meticulous analysis. You will also actively support manuscript preparation and participate in grant writing.
To be successful in this role, you will possess proven scientific expertise, a strong track record in experimental execution and analysis. Your ability to plan research, contribute to publications, and assist in securing funding will be paramount.

The Multimodal Imaging Genetics Lab at Barrow Neuro Analytics Center is in search of a talented and motivated computational biologist to join our dynamic team. Our lab employs cutting-edge bioinformatics and machine learning, including deep learning, to understand brain aging and secondary injury mechanisms across cerebrovascular, neurodegenerative, and traumatic brain diseases. As a Bioinformatics Staff Scientist, you will be responsible for conducting and supervising analysis of large- scale, high-dimensional biological data from biobanks and longitudinal cohorts, and developing innovative computational methods to enhance understanding of cerebrovascular and Alzheimer’s disease interactions, and drive development of mechanism-based treatments for dementia. We seek a self-driven, innovative individual with strong analytical and problem-solving abilities, and exceptional communication skills.

Responsibilities:

  • Responsible for operational oversight and implementation of funded translational research program(s) in genomics
  • Plans and executes bioinformatics analysis on high-throughput genomics (including single cell) and proteomics data, integration and analysis of multi-omics data
  • Participates in the development and application of computational algorithms and statistical models for data analysis and interpretation, and development of data analysis pipelines.
  • Develops and establishes data analysis pipelines
  • Serves as a liaison for the training of technical personnel in the translational program including post-doctoral fellows, graduate and undergraduate students
Job Requirements

Required

  • Ph.D. in Genetics, Bioinformatics, Computational Biology, Statistical Genetics, or related field
  • Demonstrated experience with GWAS data analysis, population genetics, or single-cell genomics
  • Strong understanding of complex disease genetics and population structure
  • Prior work in complex disease genetics research, including analysis of large cohorts or biobank-scale datasets

Preferred

  • Experience with pathway analysis, polygenic risk scores, or Mendelian randomization is a plus
  • Publication record in peer-reviewed journals related to human genetics or genomics
  • Proficiency in programming with R, Unix/Linux, and/or Python
  • Experience with genetic analysis tools (e.g., PLINK, GCTA, METAL)
  • Experience with high-performance computing environments
  • Working knowledge of machine learning (AI/ML) algorithms and their applications in bioinformatics
Where You'll Work

Hello humankindness: Join a Legacy of Healing at Saint Joseph’s Hospital and Medical Center (SJHMC) 

Ready to make a real difference? Join SJHMC in Phoenix AZ., a 571-bed nonprofit founded by the Sisters of Mercy over 125 years ago. We're more than a hospital; we're a global destination for life-changing care, embracing patients with humankindness.

Here, your calling will flourish. We're not just a workplace; we're a community dedicated to a mission of service.

Leaders in Specialized Care:

  • Barrow Neurological Institute (BNI): A world-renowned center for groundbreaking neurological research and innovative treatments.
  • Norton Thoracic Institute (NTI): A national leader in advanced thoracic care with pioneering surgical techniques.
  • Level I Trauma Center: One of Arizona's busiest ERs, providing immediate, comprehensive care for critically injured patients 24/7.

Why SJHMC?

  • Culture of Excellence & Well-being: We care for our people, fostering professional and personal growth.
  • Community & Collaboration: Be part of a network committed to global health and well-being.
  • Join a Legacy, Shape a Future: Over 20% of our patients travel internationally for our specialized care.

This is an invitation to join a family of dedicated professionals at the forefront of medical innovation, united by the power of humankindness.

Qualifications:

Required

  • Ph.D. in Genetics, Bioinformatics, Computational Biology, Statistical Genetics, or related field
  • Demonstrated experience with GWAS data analysis, population genetics, or single-cell genomics
  • Strong understanding of complex disease genetics and population structure
  • Prior work in complex disease genetics research, including analysis of large cohorts or biobank-scale datasets

Preferred

  • Experience with pathway analysis, polygenic risk scores, or Mendelian randomization is a plus
  • Publication record in peer-reviewed journals related to human genetics or genomics
  • Proficiency in programming with R, Unix/Linux, and/or Python
  • Experience with genetic analysis tools (e.g., PLINK, GCTA, METAL)
  • Experience with high-performance computing environments
  • Working knowledge of machine learning (AI/ML) algorithms and their applications in bioinformatics
Employment Type: Full Time

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