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Internship Biomedical Data Scientist Jobs (NOW HIRING)

Ceribell, Inc

Data Scientist

Sunnyvale, CA

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical ... Mentor and guide junior data scientists and interns, fostering their growth by providing technical ...

Boston Scientific

Senior Data Scientist

Valencia, CA · On-site

Master's degree in data science, biostatistics, computer science, biomedical engineering or a related field and a minimum of 3 years' experience in medical technology or a related industry; or a ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA

$184K - $210K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical ... Mentor and guide junior data scientists and interns, fostering their growth by providing technical ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical ... Mentor and guide junior data scientists and interns, fostering their growth by providing technical ...

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Internship Biomedical Data Scientist information

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

As of Jun 18, 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 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 are the key skills and qualifications needed to thrive as an Internship Biomedical Data Scientist, and why are they important?

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, and how do these projects typically contribute to ongoing research or product development?

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 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
Research Data Scientist - Ajami Lab - Department of Neurology

Research Data Scientist - Ajami Lab - Department of Neurology

Cedars Sinai

West Hollywood, CA • On-site

$94K - $161K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

36th of 1,000 rated hospitals

Job description

Job Description
Grow your career at Cedars-Sinai!
Data is vital to advance clinical knowledge across a spectrum of medical and surgical fields. Are you ready to transform data discoveries into valuable information, which will empower tomorrow's medicine?
Dr. Bahareh Ajami invites you to consider this Research Data Scientist opportunity to join her dynamic team!
About the Team
The Ajami Lab is establishing a new research program at Cedars-Sinai focused on immune mechanisms driving neuro-degeneration, with a particular emphasis on ALS and microglial biology.
About the Role
The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
Primary Duties & Responsibilities:
  • Leads the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
  • Leads with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
  • Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
  • Creates sustainable data science infrastructure and adheres to data analysis/machine learning standards.
  • Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
  • Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
  • Tests and validates code to ensure robustness of data applications with version control through GitHub.
  • Performs all other duties as assigned.

Qualifications
Education:
  • Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, Statistics, Engineering, Physics, or related field, required.
  • Master's degree in these fields is preferred.

Experience and Skills:
  • Two (2) years of professional experience in healthcare or pharmaceutical industries working with biomedical data.
  • Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable.
  • Experience programming at a basic to intermediate proficiency level in SQL.

About Us
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.
About the Team
Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

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