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Machine Learning Biology Jobs in Phoenix, AZ (NOW HIRING)

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Machine Learning Biology information

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$22.8K

$51.8K

$74K

How much do machine learning biology jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning biology in Phoenix, AZ is $51,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $60,100.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Machine Learning Biology jobs in Phoenix, AZ? For Machine Learning Biology jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biology jobs in Phoenix, AZ look for? The top searched job categories for Machine Learning Biology jobs in Phoenix, AZ are:
Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $51,820 per year, or $24.9 per hour.

Data and AI Researcher II, Department of Biomedical Informatics (College of Medicine - Phoenix)

University of Arizona

Phoenix, AZ • On-site

Other

This job post has expired today. Applications are no longer accepted.

University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

383rd of 616 rated colleges and universities

Job description

  • Analyze multi-omics, imaging, and clinical datasets using established analytical and statistical methods.
  • Contribute to ongoing studies in cardiovascular systems biology, including exposure to proteomics, transcriptomics, and integrative data analysis approaches.
  • Interpret results and collaborate in preparing summaries, presentations, and draft materials for publications.
  • Review and apply existing computational workflows to support reproducible and well-documented data analysis.
  • Provide support for the use and maintenance of computational pipelines for multi-modal biomedical data.
  • Apply existing machine learning and data analysis methods under guidance from senior team members.
  • Work with the PI and team to improve organization, usability, and documentation of analytical tools and workflows.
  • Document workflows, software usage, and standard operating procedures (SOPs) to support reproducibility and team knowledge sharing.
  • Collaborate with interdisciplinary teams, including researchers in computational biology, clinical research, and data science.
  • Contribute to preparing reports, manuscripts, and grant-related materials, including coordination and formatting support. 
  • Present summaries of work and project updates in lab meetings and collaborative settings, with guidance as needed.

Knowledge, Skills & Abilities:

  • Ability to communicate in a clear, concise manner orally and in writing.
  • Detailed oriented, conscientious, and able to follow instructions.
  • Knowledge of the principles and techniques of the subject discipline.
  • Knowledge of modern research methods, data collection and analyses.
  • Skill in analyzing and evaluating data.

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