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Internship Biomedical Data Scientist Jobs (NOW HIRING)

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

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

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

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

The Principal Data Scientist - Oncology, will play a pivotal role to standardize and connect biomedical and clinical data. You will be a hands-on technical contributor with depth in semantic ...

... biomedical applications and has a strong background in machine learning, pattern recognition ... 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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$37.5K

$122.7K

$196.5K

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:

Senior Data Scientist

Elephas

Madison, WI • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Summary
Elephas is a growing biotechnology company located in Madison, WI seeking a talented individual to join our team as a Senior Data Scientist. Applicants should be comfortable in a fast-paced and collaborative environment. Candidates should be eager to learn and flexible with an aptitude for understanding and synthesizing scientific and medical information, strong analytical and problem-solving skills. A successful candidate will not only exemplify these skills but also be passionate about improving the lives of cancer patients, grounded and gritty, and an enthusiastic teacher.
The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps across different assay versions, engineering features to feed modeling, evaluating different types of modeling approaches, training unsupervised and supervised data models and reporting performance, assimilating, summarizing, and visualizing results, and presenting results to Commercial, RD and Scientific Communications stakeholders.
Essential Duties and Responsibilities
  • Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement.
  • Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets.
  • Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable for broader team use.
  • Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches.
  • Lead complex data presentation to technical and non-technical stakeholders.
  • Provide technical leadership through code review, methodological guidance, and best-practice development.
  • Mentor junior and mid-level data scientists, supporting their technical growth, project execution, and decision-making.

Education/Experience/Skills
  • Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field
  • Strong background in quantitative analysis and statistics
  • 1-3 years experience analyzing biomedical datasets is preferred
  • Experience programming in Python is preferred
  • Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc.
  • Experience explaining complex data methodologies to non-technical stakeholders
  • Familiarity with software development life cycle and best practices
  • Detail-oriented with strong organizational skills

We offer our employees competitive compensation and benefits, including paid time off, health insurance, life insurance, flexible spending accounts, a 401(k) plan, and stock options.
DISCLAIMER
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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About Elephas

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

Madison, WI, US

Year founded

2020