2027 R&D Cancer Diagnostics Intern

About the Role

Abbott's Cancer Diagnostics Division is seeking interns to transform the way cancer is detected, diagnosed, and managed. This role offers a meaningful, professional, hands-on experience to students with proven academic performance and problem-solving potential. Internships will be located onsite in Madison, WI or San Diego, CA.

Areas of Focus

• 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

Key Responsibilities

• Contribute to meaningful, challenging projects with a direct impact on the business.
• Gain regular access to senior leadership for learning and growth opportunities.
• Develop career knowledge through targeted training, a global intern community, and networking opportunities.

Requirements & Tech Stack

• Completed at least one year of college coursework prior to the start of the internship.
• 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 to Madison, WI or San Diego, CA.

Qualifications

• Students majoring in Biomedical Engineering, Chemistry, Life Sciences, Mathematics, Computer Science, Data Science, and related quantitative fields.

• Product Development candidates:

• Pursuing a bachelor's or master's degree in Biomedical Engineering, Chemistry, Life Sciences, or a related field.

• Prior lab or research experience.

• Bioinformatics candidates:

• Pursuing a PhD in Mathematics, Computer Science, Physics, Bioinformatics, or another related quantitative field.

• ML & AI candidates:

• Pursuing a master's degree (PhD preferred) in AI, Computer Science, Data Science, or another related computational field.

• Preferred Qualifications:

• Strong academic record with a minimum GPA of 3.0 on a 4.0 scale.

• Product Development candidates: Previous laboratory or research experience, with familiarity in one or more of the following:

• Protein immunoassays (e.g., ELISA, bead- or microparticle-based formats using colorimetric, chemiluminescent, or electrochemiluminescent detection).

• PCR/qPCR (including primer design and assay optimization).

• 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, Alinity i) is a plus.

• Familiarity with biological sample processing, purification, and proper handling of blood, plasma, serum, or stool specimens is desirable.

*Pay Range: $16.85 – $33.75 per hour. In specific locations, the pay range may vary.