2026 Summer Internship Program: US Medical Affairs Oncology - Digital Innovation in Evidence Generation Intern

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Job Description

The oncology landscape demands faster, smarter, and more patient-centered approaches to evidence generation. US Medical Affairs Oncology (USMAO) is advancing digital innovation—including AI-driven insight mining, real-world evidence platforms, and automated literature scanning—to turn complex data into actionable strategies. This internship will play a key role in exploring and applying digital technologies to strengthen USMAO’s ability to generate meaningful evidence, support decision-making, and demonstrate Medical Affairs impact.

As a USMAO Digital Innovation in Evidence Generation Intern, you will explore new technologies, assess industry best practices, and help prototype solutions that enhance how evidence is synthesized, reported, and communicated. Your work will directly contribute to shaping the future of oncology evidence generation.

How You Will Contribute

• Evidence Integration – Analyze structured and unstructured data (e.g., MSL insights, advisory boards, social media) to uncover unified themes.

• Innovation Scouting – Benchmark emerging digital technologies and approaches within and outside the pharmaceutical industry.

• Prototype Development – Build proof-of-concept tools (dashboards, analytic overlays, predictive models, automated summaries).

• Automated Literature Intelligence – Pilot automated scanning tools and develop summarized reporting frameworks for rapid awareness of new research.

• Impact Definition – Propose metrics to measure evidence generation effectiveness (e.g., speed of insight-to-action, influence on decision-making).

• Strategic Enablement – Translate findings into recommendations that inform the oncology evidence generation roadmap.

Opportunities

• Gain experience at the intersection of digital innovation and medical affairs.

• Work on high-impact projects with real-world application in oncology evidence generation.

• Build practical skills in AI, natural language processing, analytics, and data visualization.

• Collaborate cross-functionally with scientific directors, field medical teams, health economics and outcomes research (HEOR), and operations.

• Contribute to initiatives that improve how evidence informs strategy, stakeholder engagement, and patient outcomes.

• Deliver high-visibility outputs that inform leadership decision-making.

Job Requirements

• This position will be hybrid role out of the Cambridge, MA location.

• Currently pursuing a graduate degree (PharmD, PhD, MD, MPH, MBA, Data Science, or related field).

• Strong interest in digital health, analytics, or innovation in medical affairs.

• Analytical mindset with ability to evaluate large datasets and synthesize findings.

• Familiarity with artificial intelligence (AI), natural language process (NLP), or machine learning concepts (academic or project experience preferred).

• Excellent communication skills for translating complex outputs into actionable recommendations.

• Proficiency in Microsoft Office; experience with data visualization or analytic tools is a plus.

• Ability to work independently and collaboratively in a fast-paced, cross-functional environment.

Internship Eligibility

• Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship 

• Must be currently enrolled in a degree program graduating December 2026 or later 

• The internship program is 10-12 weeks depending on the two start dates ( May 26 th -August 14 th or June 15 th - August 21 st )

• The intern must be able to commit to one of these time frames

• Able to work full time 40 hou rs a wee k during internship dates  

• Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program 

Program Highlights:

• Hands-on experience with real projects and responsibilities 

• Dedicated mentorship program pairing interns with experienced professionals 

• Networking opportunities with industry professionals and fellow interns 

• Internship events focused on professional and skills development  

• Exposure to multiple business areas or departments within a Pharmaceutical Organization 

Applications will be accepted between October 31 st - November 16 th

Takeda Compensation and Benefits Summary

We understand compensation may be an important factor as you consider an internship opportunity. We are committed to  equitable pay for all employees , and we strive to be more transparent with our pay practices.

For Location:

Boston, MA

U.S. Hourly Wage Range:

$21 .00 - $46 .00

The estimated hourly range reflects  an anticipated range for this position. The actual hourly wage offered will depend on the candidate’s school year /level to be entered following completion of internship . The actual hourly wage offered will be  in accordance with state or local minimum wage requirements for the job location .

U.S. internship benefits vary by locati on and may include:

• Paid sick time

• Civic Duty paid time off

• Participation at company volunteer events

• Participation at company sponsored special events

• Access to on-site f itness c enter (where a vailable )

• Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking.

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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