2027 R&D Cancer Diagnostics Intern

JOB DESCRIPTION:

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutrition, and branded generic medicines. Our 120,000 colleagues serve people in more than 160 countries.

At Abbott's Cancer Diagnostics Division, we will transform the way cancer is detected, diagnosed and managed for more people around the world. We're focused on patients, providers, doctors, researchers, and caregivers. Our medical experts partner with the industry's best minds and collaborate with top institutions, advocacy partners, and policymakers to help change lives and transform how the world approaches cancer.

Working at Abbott

Unlock your potential as an Abbott Cancer Diagnostics (ONCO) intern. Join us to work on impactful projects, learn from senior leaders, and build your career.

Here you can:

• Contribute to meaningful, challenging projects with a direct impact on our business
• Have regular access to senior leadership, providing you with an opportunity to grow and learn from the best each day
• Develop your career and grow your knowledge through targeted training, a global intern community, and the opportunity to build your network
• Access perks that keep you supported both inside and outside the office

The Opportunity

Our Research & Development Internship Program provides a meaningful, professional, hands-on experience to students with proven academic performance and problem-solving potential. We hire students majoring in Biomedical Engineering, Chemistry, Life Sciences, Mathematics, Computer Science, Data Science, and related quantitative fields into our programs based on business needs. Ideal candidates will combine technical curiosity and scientific rigor with analytical strength and creative problem-solving abilities.

Internships will be located onsite in Madison, WI or San Diego, CA.

Abbott's global business enables you to work in a variety of fields, including:

Product Development

• Product Design & Prototyping
• Lab-Based Experimentation & Testing
• Cross-Functional Product Lifecycle Support
• Scientific Problem-Solving & Analysis

Bioinformatics

• Computational Biology & Data Analysis
• Statistical Modeling & Algorithm Development
• Quantitative Research Support
• Large-Scale Biological Dataset Analysis

ML & AI

• Machine Learning Model Development
• Data Science & Predictive Analytics
• AI-Driven Research Applications
• Algorithm Design & Validation

Minimum Qualifications

• Completed at least one year of college coursework prior to the start of the internship
• Candidates must be returning to school following the internship assignment
• Must be authorized to work in the United States without the need for current or future sponsorship
• Must be geographically mobile as positions will be located in Madison, WI or San Diego, CA
• Product Development candidates should be pursuing a bachelor's or master's degree in Biomedical Engineering, Chemistry, Life Sciences, or a related field, and should have prior lab or research experience
• Bioinformatics candidates should be pursuing a PhD in Mathematics, Computer Science, Physics, Bioinformatics, or another related quantitative field
• ML & AI candidates should be pursuing a master's degree (PhD preferred) in AI, Computer Science, Data Science, or another related computational field

Preferred Qualifications

• Have a strong academic record with a minimum GPA of 3.0 on a 4.0 scale
• Product Development candidates have previous laboratory or research experience, with familiarity in one or more of the following areas:
  • Protein immunoassays, including ELISA and bead- or microparticle-based formats using colorimetric, chemiluminescent, or electro chemiluminescent detection methods; PCR/qPCR, including primer design and assay optimization; or NGS workflows, including library preparation, sequencing, and short-variant detection or analysis. Experience with automated liquid-handling systems or clinical assay platforms (e.g., Hamilton, cobas, or Alinity i) is a plus.
  • Familiarity with biological sample processing, purification, and proper handling of blood, plasma, serum, or stool specimens is also desirable.

The base pay for this position is

In specific locations, the pay range may vary from the range posted.

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