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Data Science Internship Biotech Jobs in Rochester, NY

Danaher

Software Automation Internships

Geneseo, NY

By submitting your interest, you'll be among the first to know when internship opportunities open ... sciences, and biotechnology. Our global teams work every day to solve the world's most complex ...

Danaher

Software Engineer Internships

Geneseo, NY

By submitting your interest, you'll be among the first to know when internship opportunities open ... sciences, and biotechnology. Our global teams work every day to solve the world's most complex ...

Danaher

Software Engineer Internships

Rochester, NY

By submitting your interest, you'll be among the first to know when internship opportunities open ... sciences, and biotechnology. Our global teams work every day to solve the world's most complex ...

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How much do data science internship biotech jobs pay per hour?

As of May 28, 2026, the average hourly pay for data science internship biotech in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Intern in Biotech, and why are they important?

A Data Science Intern in Biotech should have a solid understanding of statistics, data analysis, and programming (especially Python or R), typically supported by coursework in computer science, biology, or related fields. Familiarity with data visualization tools, bioinformatics databases, and platforms like Jupyter Notebook or Tableau is highly beneficial. Strong problem-solving abilities, curiosity, and effective communication help interns translate complex data into actionable insights for interdisciplinary teams. These skills enable interns to contribute meaningfully to biotech research by extracting and communicating value from large, complex biological datasets.

What types of projects do Data Science Interns typically work on in biotech companies?

Data Science Interns in biotech companies often contribute to projects involving the analysis of large-scale biological data, such as genomic sequences or clinical trial results. They might work on building predictive models to assist with drug discovery, automating data processing workflows, or visualizing complex datasets for research teams. Interns regularly collaborate with biologists, chemists, and other data scientists, gaining exposure to interdisciplinary teamwork and the unique challenges of working with sensitive, high-dimensional biomedical data.

What is a Data Science Internship in Biotech?

A Data Science Internship in Biotech is a temporary, supervised position where interns apply data science techniques to biological and medical data within a biotechnology company. Interns typically work on real-world projects involving data analysis, machine learning, or bioinformatics to help solve challenges in drug discovery, genomics, or healthcare. The internship provides practical experience, helps interns develop valuable technical and domain-specific skills, and can lead to future job opportunities in the biotech industry.

What is the difference between Data Science Internship Biotech vs Data Analyst?

AspectData Science Internship BiotechData Analyst
Required CredentialsTypically pursuing or completed a degree in Data Science, Biotechnology, or related fieldsUsually holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentBiotech companies, research labs, pharmaceutical firmsVarious industries including finance, healthcare, marketing
Industry UsageApplied to biotech research, drug development, genomicsApplied to business insights, reporting, and decision-making

While both roles involve data analysis skills, a Data Science Internship in Biotech focuses on applying data science techniques to biotech-specific problems, often requiring knowledge of biology or biotech tools. A Data Analyst generally works across industries, emphasizing data reporting and visualization. The internship provides hands-on experience in biotech settings, whereas a Data Analyst role is broader and industry-agnostic.

What are popular job titles related to Data Science Internship Biotech jobs in Rochester, NY? For Data Science Internship Biotech jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Science Internship Biotech jobs in Rochester, NY look for? The top searched job categories for Data Science Internship Biotech jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Science Internship Biotech jobs? Cities near Rochester, NY with the most Data Science Internship Biotech job openings:
Data Science Internship Biotech jobs near you
Software Automation Internships

Software Automation Internships

Danaher

Rochester, NY

Other

Posted 5 days ago

Danaher rating

7.5

Company rating: 7.5 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

How It Works

This is not an active job listing. By submitting your interest, you’ll be among the first to know when internship opportunities open at Danaher. While the roles described here reflect the types of positions we typically recruit for, we want to be transparent that specific openings for the upcoming recruiting season have not yet been finalized. If your background aligns with future opportunities, we’ll reach out directly when formal applications become available.

About Automation Engineering Roles at Danaher

Are you energized by solving technical problems, building automation systems, and making a real impact in the life sciences space? As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies.

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar past roles have worked on meaningful projects that support Cytiva’s mission of advancing and accelerating therapeutics.

What You Might Work On
  • Participating in Agile Scrum team activities and engineering sprints
  • Supporting the development and testing of DeltaV automation software
  • Troubleshooting system and software issues Collaborating with cross-functional teams on requirements, design optimization, and root cause analysis
  • Developing and executing test strategies for automation solutions
Who This Is For
  • Students graduating in 2025 or later, currently pursuing a Bachelor's degree in Chemical Engineering, Electrical Engineering, Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start
  • Experience with hands-on lab testing and technical documentation (e.g., lab report generation)
  • Strong analytical and collaboration skills, with a desire to work in a regulated, quality-driven environment
Company Description

At Danaher, we bring together science, technology, and operational excellence to accelerate the impact of innovation in diagnostics, life sciences, and biotechnology. Our global teams work every day to solve the world’s most complex challenges by developing tools that improve human health.

Cytiva, a Danaher company, is a global life sciences leader supporting customers in discovering and producing life-changing therapeutics. You’ll be joining a team committed to curiosity, collaboration, and continuous improvement—empowered by the proven tools of the Danaher Business System.

What Danaher employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984

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