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Internship Biomedical Data Scientist Jobs (NOW HIRING)

Senior Data Scientist

Madison, WI ยท 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 ...

Senior/Staff Data Scientist

Sunnyvale, CA ยท On-site

$184 - $200/hr

... 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 ...

Senior/Staff Data Scientist

Sunnyvale, CA ยท On-site

$184K - $200K/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 ...

Senior/Staff Data Scientist

San Jose, CA ยท On-site

$184K - $200K/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 ...

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 ...

Showing results 41-60

Internship Biomedical Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 24, 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:

88-50100571 Analytical Data Scientist

San Jose, CA โ€ข On-site

$142K - $197K/yr

Full-time

Re-posted 20 days ago


Job description

The Position
Genentech, Inc. seeks an Analytical Data Scientist at its South San Francisco, California location.
Duties: Within global biotechnology organization, conduct statistical programming and analyses to support the company's Product Development Data (PDD) Sciences used for pharmaceutical and biotech drug development. Lead statistical programming teams in planning, designing, and implementing statistical software solutions for clinical trial reporting and analysis. Assess, clarify and make statistical recommendations on study requirements, develop statistical programming strategies, and ensure efficient implementation as the Study Lead. Develop data science strategies to meet study and project requirements; manage output specifications and output risk assessments; and specify, review, and implement analysis datasets. Identify and assign deliverables for clinical study team members in support of across molecule programs. Conduct statistical programming and analytics as a component of clinical projects. Communicate with stakeholders from different scientific backgrounds and areas of expertise to negotiate timelines and scope of deliverables. Develop and validate datasets and statistical outputs for clinical studies, including Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and tables, listings, and figures (TLFs) through adherence to risk assessment and quality control guidelines and internal processes. Assist in developing visualizations/dashboards for data exploration using interactive applications and data insights platforms. Document reproducible and accurate outputs and ensure alignment with programming specifications. Resolve technical issues in code or output that cause data discrepancies. Collaborate with global health authorities to support company's product pipeline and build partnerships to collaborate with global affiliates to support products, processes, and systems while ensuring compliance with regulatory and process requirements.
Education and Experience Requirement: Requires a Master's degree in biostatistics, mathematics, data science or closely related field.
Specials Skills Requirement: Must have the following skills from academic studies, research, or industry: 1) Statistical programming knowledge of clinical and biomedical data in product development processes within biopharmaceutical industry, 2) Software development and programming expertise in SAS, SQL, and R, 3) Statistical methodologies in biomedicine such as survival modeling, causal inference, and clinical trials, and 4) Collaborating with stakeholders from different scientific backgrounds on biomedical related research projects. May telecommute up to 3 days per week.
#LI-DNI #DNI #DE-DNI
Worksite: 1 DNA Way, Central Campus, South San Francisco, California 94080.
The expected annual salary range for this position based on the primary location for this position in South Francisco, California is $142,656 to $197,500 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at
(https://roche.ehr.com/default.ashx?CLASSNAME=splash).
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.