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Internship 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 · 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 ...

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 ...

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How much do internship biomedical data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for internship 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 an internship biomedical data scientist do?

An Internship Biomedical Data Scientist assists in collecting, analyzing, and interpreting large sets of biomedical data to support research and healthcare innovation. Interns typically work with interdisciplinary teams to process data from sources such as clinical trials, electronic health records, or genomics studies. They use statistical methods and programming tools to uncover patterns, test hypotheses, and help develop predictive models that can improve patient outcomes or advance medical research.

What are the key skills and qualifications needed to thrive as an internship biomedical data scientist?

To thrive as an Internship Biomedical Data Scientist, you typically need a strong background in statistics, programming (such as Python or R), and a foundational understanding of biology or medicine, often supported by progress toward a relevant degree. Familiarity with data analysis tools, machine learning libraries, and bioinformatics platforms like TensorFlow, scikit-learn, and databases such as SQL is important. Effective communication, problem-solving abilities, and teamwork help interns interpret results and collaborate with interdisciplinary teams. These skills enable accurate data-driven insights and successful contributions to biomedical research and innovation.

What types of projects can an internship biomedical data scientist expect to work on?

As an Internship Biomedical Data Scientist, you can expect to work on projects involving data cleaning, statistical analysis, or machine learning model development using large biomedical datasets such as genomics, clinical trial data, or electronic health records. These projects often support ongoing research by identifying meaningful patterns or developing predictive models that inform clinical decisions or product innovation. You'll typically collaborate with multidisciplinary teams, including biologists, clinicians, and software engineers, which provides valuable exposure to real-world biomedical challenges and workflows. This hands-on experience is instrumental for understanding how data science drives progress in healthcare and biotechnology.

What is the difference between Internship Biomedical Data Scientist vs Biomedical Data Scientist?

AspectInternship Biomedical Data ScientistBiomedical Data Scientist
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., bioinformatics, data science)Bachelor's or higher in related field, often with experience or certifications
Work EnvironmentInternship programs, research labs, healthcare companiesFull-time roles in research institutions, biotech, healthcare firms
Employer & Industry UsageEducational institutions, hospitals, biotech startupsEstablished companies, research organizations, pharma
Search & Comparison IntentLearning about entry-level opportunities, internshipsSeeking full-time roles, career advancement

The main difference is that an Internship Biomedical Data Scientist is an entry-level, temporary position aimed at gaining experience, while a Biomedical Data Scientist is a full-time professional role requiring more experience and qualifications. Internships serve as a stepping stone toward a full career in biomedical data science.

What cities are hiring for Internship Biomedical Data Scientist jobs?

Cities with the most Internship 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 Internship Biomedical Data Scientist jobs?

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

Internship Biomedical Data Scientist jobs near you

Post-Doctoral Position in Biomedical Data Mining

University of Maryland, Baltimore

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Re-posted 10 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.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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