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Biomedical Data Scientist Jobs (NOW HIRING)

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

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 ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

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 ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

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 ...

Fullpower Technologies

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 ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA

$184K - $210K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

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How much do biomedical data scientist jobs pay per year?

As of Jun 18, 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 is the job of a biomedical?

A biomedical data scientist analyzes biological and medical data to support research, diagnosis, and treatment development. They use skills in data analysis, programming, and statistical modeling, often working with large datasets and tools like Python or R in healthcare or research environments.

What is the salary of a bioengineer in the US?

A biomedical data scientist's salary can vary based on experience, education, and location, but bioengineers in the US typically earn between $60,000 and $100,000 annually. Advanced roles or those with specialized skills may offer higher compensation, especially in research or industry settings.

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.

What jobs can you get with biomedical science?

A biomedical science degree prepares individuals for various roles such as biomedical scientist, clinical researcher, laboratory technician, or research associate. These jobs typically require skills in laboratory techniques, data analysis, and knowledge of biological systems, often utilizing tools like microscopes and statistical software.

What does biomedical mean?

Biomedical refers to the field that combines biology and medicine to develop healthcare solutions, including medical research, diagnostics, and treatments. A biomedical data scientist works with biological and medical data, often using tools like statistical analysis and machine learning to improve healthcare outcomes.

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.
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Biomedical Data Scientist jobs near you
Infographic showing various Biomedical Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. 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

Post-Doctoral Position in Biomedical Data Mining

University of Maryland, Baltimore

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Posted 7 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

216th of 537 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.To ApplyPlease 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.EmployerUniversity of Maryland School of Medicine Normal 0 false false false EN-US ZH-CN X-NONE
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.
The Department is committed to building a diverse environment; women and minorities are strongly encouraged to apply.
Normal 0 false false false EN-US ZH-CN X-NONE

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