1

Biomedical Data Scientist Jobs (NOW HIRING)

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Connect biomedical sensor data with medical, health, and fitness outcomes * Research and ... Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick ...

Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches. * Lead complex data presentation to technical and non-technical ...

Showing results 21-40

Biomedical Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do biomedical data scientist jobs pay per year?

As of Aug 20, 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 is a biomedical data scientist?

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 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 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 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.

Can you become a biomedical data scientist with a biomedical science degree?

A biomedical data scientist can often have a biomedical science degree, but additional skills in programming, statistics, and data analysis are typically required. Gaining experience with tools like Python, R, and machine learning can improve job prospects in this field. Advanced degrees or certifications in data science or bioinformatics may also be beneficial.

What cities are hiring for Biomedical Data Scientist jobs?

Cities with the most Biomedical Data Scientist job openings:

What are the most commonly searched types of Biomedical Data Scientist jobs?

The most popular types of Biomedical Data Scientist jobs are:

What states have the most Biomedical Data Scientist jobs?

States with the most job openings for Biomedical Data Scientist jobs include:

Infographic showing various Biomedical Data Scientist job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Post-Doctoral Position in biomedical data mining

University of Maryland, Baltimore

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Re-posted 5 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

262nd of 620 rated colleges and universities


Job description

Job Description
The Biomedical Data Mining Lab, Department of Radiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as Parkinson's disease. We seek candidates with expertise in data mining, medical image analysis, programming, and Unix/Linux. The candidate is also expected to assist in data management. The candidate must also possess strong communication and organizational skills.
Qualifications
a..Qualifications
A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm, magnetic resonance (MR) image analysis, Unix/Linux Shell programming, FSL, SPM, AFNI, C/C++ programming is preferred.
To Apply
Please email a detailed CV, along with a brief description of relevant past experience to RChen@som.umaryland.edu using "Biomedical data mining postdoctoral researcher position application" in the subject line; any questions may be directed to this email address as well.
Application should also be submitted through Taleo:
The University of Maryland is an equal opportunity , affirmative action employer. All qualified applicants will receive consideration for employment regardless of sex, gender identity, race, color, religion, national original, disability, protected veteran status, age, or any other characteristic protected by law or policy . We value diversity and how it enriches our academic and scientific community and strive towards cultivating an inclusive environment that supports all employees.

What University Of Maryland, Baltimore employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom