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How much do biomedical data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for biomedical data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is a biomedical data analyst?

A Biomedical Data Analyst is responsible for collecting, processing, and analyzing medical and biological data to derive insights that support research, clinical decision-making, and healthcare innovations. They work with large datasets, applying statistical and machine learning techniques to interpret complex biological information. These professionals collaborate with scientists, healthcare providers, and policymakers to enhance patient outcomes and streamline medical processes. Strong skills in data science, programming (e.g., Python, R), and domain knowledge in biology or medicine are essential for success in this role.

What are the typical daily responsibilities of a biomedical data analyst?

As a Biomedical Data Analyst, your daily responsibilities often include gathering, cleaning, and analyzing large sets of biological or healthcare data to identify patterns, trends, or correlations. You may work closely with clinicians, researchers, or IT specialists to define data requirements, create reports, and present findings in a clear, actionable format. Collaborating with cross-functional teams, developing predictive models, and ensuring data quality and security are also common aspects of the role. Most Biomedical Data Analysts work in a research, hospital, biotech, or academic environment where attention to detail and the ability to communicate technical information to non-technical stakeholders are important.

What are the key skills and qualifications needed to thrive as a biomedical data analyst?

To thrive as a Biomedical Data Analyst, you need a solid background in biological sciences, statistics, and data analysis, often supported by a bachelor's or master's degree in a relevant field. Expertise in programming languages like Python or R, experience with databases and statistical tools, and familiarity with healthcare data systems like EHRs are highly valuable, as are certifications such as SAS or data analytics credentials. Strong critical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These competencies allow you to accurately analyze biomedical data, generate actionable insights, and support evidence-based decision-making in healthcare and research environments.

What are popular job titles related to Biomedical Data Analyst jobs in Utah?

For Biomedical Data Analyst jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Analyst jobs in Utah look for?

The top searched job categories for Biomedical Data Analyst jobs in Utah are:

Biomedical Data Analyst jobs near you
Infographic showing various Biomedical Data Analyst job openings in Utah as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

TRIAD Director - Associate Professor or Full Professor

Salt Lake City, UT • On-site

The Chronicle Of Higher Education, Inc.
Newspaper Publishers • 201 - 500 employees
Learn more about The Chronicle Of Higher Education, Inc.external

Other

Posted 25 days ago

Job description

TRIAD Director - Associate Professor or Full Professor

We are seeking an Associate or Full Professor to serve as the director of the University of Utah's Translational Research: Implementation, Analysis and Design (TRIAD) Team. The director will oversee and develop TRIAD, collaborate with biomedical researchers, support and develop grant proposals, advise graduate students, perform methodological research, and teach in the Biostatistics Ph.D. emphasis within the PHS Ph.D. program.

Responsibilities
  • Oversee and develop the TRIAD Team, comprising more than 40 master’s and Ph.D. trained biostatisticians and research methodologists.
  • Collaborate with biomedical researchers across the University of Utah and affiliated institutions.
  • Support and develop grant proposals and pursue independent and collaborative methodological research.
  • Advise graduate students and contribute to teaching in the Biostatistics Ph.D. emphasis.
Methodological Interests (preferred)
  • Design and analysis of observational studies
  • Design and analysis of clinical trials
  • Causal inference
  • Implementation science methodology
  • Data integration
  • Machine learning
  • ‘Omics (e.g., metabolomics, transcriptomics, metagenomics)
  • Social/behavioral science
  • Longitudinal and multilevel data analysis
Minimum Qualifications
  • A Ph.D. in biostatistics or a related discipline.
  • Demonstrated excellence in collaborative and methodological research.
  • Post‑doctoral training and/or experience is desired.
Required Materials
  • Letter of interest (cover letter)
  • Curriculum vitae
  • Research statement
  • Teaching statement
  • Exemplar publication or pre‑publication that highlights expertise in biostatistics
Additional Information

The University of Utah offers a highly competitive salary and start‑up package, along with exceptional benefits. Applications are reviewed on a rolling basis; the role will remain open until filled.

Questions about this position should be directed to the search committee chair Daniel Scharfstein.

For EEO statements: The University of Utah does not discriminate based on race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender identity, gender expression, pregnancy status, genetic information, or veteran status. Reasonable accommodations for applicants with disabilities will be provided upon request.

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