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Machine Learning Biology Jobs in Arizona (NOW HIRING)

CommonSpirit Health

Research Scientist I

Phoenix, AZ · On-site

... 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 ...

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Machine Learning Biology information

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$21.4K

$48.6K

$69.4K

How much do machine learning biology jobs pay per year?

As of Aug 28, 2026, the average yearly pay for machine learning biology in Arizona is $48,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $56,400.00 per year, depending on experience, location, and employer.

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What are popular job titles related to Machine Learning Biology jobs in Arizona?

For Machine Learning Biology jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Machine Learning Biology jobs in Arizona look for?

The top searched job categories for Machine Learning Biology jobs in Arizona are:

Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,635 per year, or $23.4 per hour.

Research Scientist I

Phoenix, AZ • On-site

St Joseph Hospital & Medical Center
See more jobs at St Joseph Hospital & Medical Centerexternal

$43.10 - $64.11/hr

Full-time

Re-posted 11 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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