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Biological Statistics Jobs in Arizona (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

True Environmental

Field Biologist I

Yuma, AZ · On-site

... biological assessments, wetland delineations, and resource analysis. The position would be ... Some knowledge of statistics and database management. * GIS experience to include ArcGIS or similar ...

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Biological Statistics information

See Arizona salary details

$28.9K

$39.2K

$52.2K

How much do biological statistics jobs pay per year?

As of Aug 4, 2026, the average yearly pay for biological statistics in Arizona is $39,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $43,300.00 per year, depending on experience, location, and employer.

How do biological statisticians typically collaborate with research scientists during a project?

Biological statisticians play a key role in interdisciplinary teams by working closely with research scientists to design experiments, determine appropriate statistical methods, and interpret data. They are often involved from the initial planning stages, helping to ensure that data collection protocols will yield valid and reliable results. Throughout the project, statisticians communicate findings clearly, translate complex statistical concepts, and provide guidance on data-driven decisions. Effective collaboration and communication with researchers are crucial for the success of scientific studies.

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

To thrive as a Biological Statistician, you need a strong background in statistics, mathematics, and biology, typically supported by a degree in biostatistics, statistics, or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience handling large biological datasets are essential. Strong analytical thinking, attention to detail, and effective communication skills help translate complex data into actionable insights for interdisciplinary teams. These skills are crucial for designing sound experiments, ensuring accuracy in data analysis, and supporting evidence-based decision-making in biological research.

Do biological statisticians make a lot of money?

Biological statisticians typically earn competitive salaries that vary based on experience, education, and location. According to industry data, median annual wages often range from $70,000 to over $100,000, with higher earnings possible for those with advanced skills in statistical software and data analysis in healthcare or pharmaceutical sectors.

What is the difference between Biological Statistics vs Biostatistics?

AspectBiological StatisticsBiostatistics
Required CredentialsDegree in statistics, mathematics, or biological sciencesDegree in statistics, biostatistics, or related health sciences
Work EnvironmentResearch labs, academia, biotech companiesHealthcare, public health, medical research
Industry UsageUsed across biological research and data analysisPrimarily in health and medical fields
Common Search IntentUnderstanding statistical methods in biologyApplying statistics to health and medicine

Biological Statistics and Biostatistics share overlapping skills and credentials, but Biological Statistics focuses more broadly on biological data analysis across various biological sciences, while Biostatistics specializes in health-related research and medical data. Both roles require strong statistical backgrounds, but their application areas differ, with Biological Statistics spanning multiple biological fields and Biostatistics centered on health and medicine.

Is a biological statistician a good career?

A biological statistician is a valuable role that involves applying statistical methods to biological research, often requiring knowledge of programming languages like R or SAS. The career offers strong job prospects, competitive salaries, and opportunities in healthcare, pharmaceuticals, and research institutions. It typically requires a strong educational background in statistics or biostatistics and may involve working in multidisciplinary teams.

What is a biological statistician?

Biological statisticians are professionals who apply statistical methods to the analysis of data generated from biological, medical, and health-related research. They help design experiments, analyze biological data, and interpret the results to support scientific conclusions. Their work is essential in fields like genetics, epidemiology, public health, and clinical trials. Biological statisticians ensure that research findings are statistically valid and meaningful, often collaborating with scientists, researchers, and healthcare professionals.
What are popular job titles related to Biological Statistics jobs in Arizona? For Biological Statistics jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Biological Statistics jobs in Arizona look for? The top searched job categories for Biological Statistics jobs in Arizona are:
Biological Statistics jobs near you
Infographic showing various Biological Statistics job openings in Arizona as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $39,238 per year, or $18.9 per hour.

Research Scientist I

St Joseph Hospital & Medical Center

Phoenix, AZ • On-site

$43.10 - $64.11/hr

Full-time

Re-posted 17 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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