2026 Summer Internship Program: Oncology Computational Biology Intern

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Job Description

The Computational Oncology team drives innovation by transforming ‘omics and biomarker data into actionable insights that accelerate Takeda’s Oncology pipeline. As part of the Precision and Translational Medicine organization, we collaborate across disciplines to decode complex datasets and shape strategies for personalized cancer therapies. Our mission is to improve patient outcomes by integrating cutting-edge analytics with translational science in a dynamic, purpose-driven environment.

In this role, the candidate will collaborate with cross-functional teams to design and execute independent analyses using proprietary tumor datasets. They will integrate gene expression, protein abundance, and genetic mutation data to support precision medicine strategies. This hands-on experience offers the opportunity to contribute to personalized cancer treatment and make a meaningful impact on patient outcomes in a highly collaborative and innovative setting.

How You Will Contribute:

• Collaborate with scientists across oncology, bioinformatics, and translational medicine, contributing to cross-functional research initiatives and gaining exposure to diverse perspectives in cancer research.
• Develop and apply innovative methods for integrating and analyzing multi-omics tumor data, using approaches such as statistical modeling and machine learning to uncover novel insights.
• Combine proprietary datasets with known biological pathways, networks, and interactions to explore mechanisms of treatment response and resistance.
• Identify molecular subtypes of cancers to support precision medicine strategies, including patient stratification and biomarker discovery.
• Design and execute your own integrative multi-omics analysis, tailored to your interests and experience, with guidance from experienced mentors.

Internship Development Opportunities:

• Gain hands-on experience applying bioinformatics skills to high-quality proprietary datasets, contributing to real-world oncology research.
• Learn about the Oncology drug development process and discover how computational biology informs key decisions in precision medicine.
• Engage with leading industry professionals, gaining insights into the impact of your work and exploring career paths in translational science and the pharmaceutical industry.

Job Requirements:

• This position will be Hybrid (1-3 days/week in office) out of the Cambridge, MA location
• Must be pursuing a Doctoral Degree in Computational Biology, Bioinformatics, Computer Science, or a related field

• Strong foundation in biology, chemistry, biochemistry, biostatistics, or a related scientific field
• Hands-on experience or coursework in bioinformatics, with exposure to transcriptomics, proteomics, or genetic mutation analysis
• Proficiency in R
• Interest in applying 'omics data to real-world healthcare and drug development challenges
• Clear and effective communication skills, with the ability to work well in cross-functional teams
• Strong analytical thinking and problem-solving abilities
• Ability to write clean, reproducible code and document analyses for collaborative research

For Location:

Boston, MA

U.S. Hourly Wage Range:

$21.00 - $46.00

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Boston, MA

Worker Type

Employee

Worker Sub-Type

Paid Intern (Fixed Term) (Trainee)

Time Type

Full time

Job Exempt

No

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