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Internship Biomedical Data Scientist Jobs (NOW HIRING)

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

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 ...

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 ...

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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 23, 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 Associate Data Scientist - Omar Lab - Computational Biomedicine

Research Associate Data Scientist - Omar Lab - Computational Biomedicine

Cedars Sinai

West Hollywood, CA • On-site

$66K - $67K/yr

Full-time

This job post has expired today. 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

37th of 1,002 rated hospitals

Job description


Join us as we translate today's discoveries into tomorrow's medicine!
The Department of Computational Medicine (CBM) is a robust infrastructure established to develop, evaluate, and apply cutting-edge computational and statistical methods and software for the analysis of biomedical and clinical data across the Cedars-Sinai enterprise.
The Omar Lab is dedicated to developing robust AI-powered tools to forecast the risk of adverse clinical outcomes in cancer patients at early stages. We use standard clinical data-primarily histopathology and radiology images-to build cost-effective, accurate tools for personalized cancer risk assessment and management. Our research leverages the tumor microenvironment to extract high-quality spatial and molecular features that guide our training process, guarding against overfitting. To learn more, please visit: Omar Lab | Cedars-Sinai.
Are you ready to be a part of breakthrough research?
The Research Associate Data Scientist participates in biomedical research projects using programming, data -mining, statistics, machine -learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and 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:
  • Assists with 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.
  • Assists 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).
  • Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
  • Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
  • Works with senior or lead data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
  • Keeps appropriate analytical records, documentation, and software version control.
  • Performs all other duties as assigned.

Department-Specific Responsibilities:
  • Participates in the development of innovative algorithms and analytical methods.
  • Participates in the evaluation and interpretation of all analytical methods and results.
  • Participates in the oral and written communication of scientific results including publications.
  • Participates in analytical training activities for faculty, staff, and students.

Qualifications
Education:
  • Bachelor's degree in Computer Sciences, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Physics, or related field, required. Master's degree, preferred.

Experience and Skills:
  • Up to 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 Python. College projects may be acceptable.
  • Experience programming in R, Python, or Linux bash and genetics and genomics data analysis preferred.
  • Experience in biomedical machine learning is preferred.
  • Working knowledge of data privacy and security including best practices for data with personal health identifiers (PHI) covered under HIPAA.
  • Strong interpersonal and communication skills. And has full command (verbal and written) of the English language.
  • Demonstrates commitment to customer service and an ability to meet the needs and expectations of patients and health care colleagues.
  • Demonstrated success working independently, forging relationships, and managing multiple tasks with minimal directions.
  • Ability to promote and foster participation/collaboration among individuals and groups.
  • Ability to handle multiple demands and/or manage complex and competing priorities.
  • Ability to analyze qualitative and quantitative information for decision support.
  • High level of proficiency using Microsoft Windows and other Microsoft Office software: MS Excel, Outlook, Powerpoint Word, etc.
  • Must be able to manage competing priorities, while being extremely adaptable and flexible and maintaining a positive work environment.

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