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Biomedical Data Scientist Jobs (NOW HIRING)

Axle

Data Scientist II

Rockville, MD

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

Axle

Data Scientist II

Rockville, MD · On-site

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

Axle

Data Scientist II

Rockville, MD · On-site

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

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Senior Data Scientist

Lehi, UT · On-site

$140K - $175K/yr

Experience working with physiological signals or biomedical data, including wearable devices, clinical monitoring, neuroscience, sports science, or related domains * Strong foundation in signal ...

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How much do biomedical data scientist jobs pay per year?

As of Jul 10, 2026, the average yearly pay for biomedical data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What Does a Biomedical Data Scientist Do?

The job of a biomedical data scientist is to research and analyze biological data for use in medicine. As a biomedical data scientist, you perform analysis using industry-standard methodologies. Your responsibilities are to record information in a database. Other duties include using this data to produce a new product or peer-reviewed paper. As a biomedical data scientist, you may also develop new research methods or tools. It is your job to create coherent reports based on your research and analysis of raw data. This type of research is used to help develop advances in medicine.

What are some typical challenges faced by Biomedical Data Scientists when working with healthcare data?

Biomedical Data Scientists often encounter challenges related to the complexity and variability of healthcare data, such as dealing with missing values, inconsistent formats, and integrating data from multiple sources like electronic health records, genomics, and imaging. Ensuring data privacy and compliance with regulations like HIPAA is also a critical consideration. Collaborating closely with clinicians and researchers to translate data findings into actionable insights can require strong communication skills and a good understanding of medical terminology. Overcoming these challenges is key to developing robust, impactful models that support healthcare advancements.

How much do biomedical data scientists make in the US?

Biomedical data scientists in the US typically earn a median annual salary of around $90,000 to $110,000, with experienced professionals and those working in research or healthcare settings earning higher. Salaries can vary based on education, skills in programming and statistical analysis, and geographic location.

What are the key skills and qualifications needed to thrive as a Biomedical Data Scientist, and why are they important?

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, biology, and computer science, often supported by an advanced degree in a related field. Proficiency with programming languages like Python or R, data analysis platforms, and experience using bioinformatics tools and machine learning frameworks are typically required. Exceptional problem-solving, collaboration, and communication skills help translate complex data into actionable biomedical insights. These skills ensure accurate analysis and interpretation of biomedical data, driving impactful research and innovation in healthcare.

What are biomedical data scientists?

Biomedical data scientists are professionals who apply data science techniques to biomedical research and healthcare. They analyze large sets of biological and medical data to uncover patterns, make predictions, and support scientific discoveries or medical decisions. Their work involves using computational tools, statistical methods, and machine learning to interpret complex datasets, such as genomics, clinical trials, or electronic health records. Biomedical data scientists often collaborate with biologists, clinicians, and other researchers to improve healthcare outcomes and advance medical knowledge.

What is biomedical data science?

Biomedical data science is a field that involves analyzing and interpreting large biological and medical datasets to support research and healthcare. Biomedical data scientists use skills in statistics, programming, and domain knowledge to develop models, visualize data, and extract insights from complex information such as genomic, clinical, and imaging data.

Can a biomedical engineer become a data scientist?

A biomedical engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or certifications. Their background in biology and engineering can be advantageous when working with healthcare or biomedical data, but they typically need to develop expertise in data analysis tools like Python, R, and SQL. Transitioning may also involve gaining experience with large datasets and data visualization techniques relevant to data science roles.

Is biomedical data science a good career?

Biomedical data science is a growing field that combines data analysis, machine learning, and biology to improve healthcare and medical research. It offers high demand for skilled professionals, competitive salaries, and opportunities to work in research institutions, healthcare companies, and biotech firms. Strong programming skills, knowledge of biology, and familiarity with data analysis tools are essential for success in this career.
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Biomedical Data Scientist jobs near you
Biomedical Data Scientist

Biomedical Data Scientist

University of Kentucky

Lexington, KY • On-site

$58K - $96K/yr

Full-time

Posted 23 hours ago

New

University Of Kentucky rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

268th of 546 rated colleges and universities

Job description

Posting Details
Posting Details
Job Title
Biomedical Data Scientist
Requisition Number
RE55044
Working Title
Department Name
7P180:DEPT OF BIOSTATISTICS
Work Location
Lexington, KY
Grade Level
47
Salary Range
$58,302-96,179/year
Type of Position
Staff
Position Time Status
Full-Time
Required Education
MS
Click here for more information about equivalencies:
https://hr.uky.edu/employment/working-uk/equivalencies
Required Related Experience
1 yr
Required License/Registration/Certification
None
Physical Requirements
Occasional lifting up to 15 pounds, sitting for extended periods of time
Shift
Monday - Friday Between the hours of 8:00 a.m. - 5:00 p.m. Additional hours when needed to meet department needs
Job Summary
The Department of Biostatistics seeks a biomedical data scientist with experience in collaborative research and analysis of biomedical data including clinical and observational data. The candidate will work in the Biostatistics Consulting and Interdisciplinary Research Collaboration Lab (Biostat CIRCL) to collaborate with research partners across campus to translate research ideas into well-designed studies, implement appropriate statistical methodologies to answer research questions, and interpret findings. Day-to-day tasks include consulting with research partners, creating data management and analytic plans, statistical programming, data visualization, automated report generation, and scientific writing. As a member of the Biostat CIRCL, the position will advance the team science mission of the unit and build infrastructure for effective data science practices on interdisciplinary research teams. This position may be on campus or fully remote.
Skills / Knowledge / Abilities
Statistical programming expertise (R or SAS) required
Does this position have supervisory responsibilities?
No
Preferred Education/Experience
PhD or [MS + 1 year experience] required. Graduate degree(s) in Biostatistics, Data Science, or Statistics preferred.
Deadline to Apply
07/16/2026
Our University Community
We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco & Drug Free campus.
The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status.
Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

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About University of Kentucky

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The University of Kentucky (UK), the state's flagship university, was founded in 1865 and its beautiful, sprawling campus, nestled in downtown Lexington, now covers over 900 acres and is home to more than 30,000 students and approximately 13,500 employees. The trees and beautifully manicured greenspaces are a source of pride for the university and combine to create an impressive oasis amidst the busy cityscape that surrounds it.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Lexington, KY, US

Year founded

1865

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