2026 U.S Summer Internship Program: Statistics and Quantitative Sciences Intern

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Job Description

Takeda is a global, values-based, R&D-driven, top 10 biopharmaceutical leader committed to discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet.

Our Data and Quantitative Sciences (DQS) is made up of more than 250 quantitative scientists who harness the insight of data and digital to speed the development of highly innovative treatments to patients. These scientists (from statistics, programming, outcomes research and epidemiology, quantitative clinical pharmacology, digital strategy, library sciences and data architecture/governance) bring their expertise to our global program teams and re-imagine our disciplines. They work with novel data streams, including real-world data and digital tools, and apply advanced analytics including artificial intelligence and automation.

As part of DQS, the Statistics and Quantitative Sciences (SQS) at Takeda is looking to add individuals to our team that are team oriented, collaborative, strong understanding of the statistics function, exceptional leaders and innovators. SQS aspires to bring safe and effective medications to the patients with our quantitative skills. We design efficient trials, contribute to clinical development strategies, perform high quality statistical analyses, and pursue operational excellence.

How You Will Contribute:

As an Intern, you will have the opportunity to

• Conduct literature reviews and contribute to the prediction model development using various statistical methodologies.
• Perform data analysis using SAS, R or python.
• Support internal activities like team meetings in preparation of key program activities.
• Use of AI enabled tools for efficiency in documents process.
• Communicate findings and results effectively with cross-functional teams through written reports and oral presentations.

Internship Development Opportunities:

• Gain hands-on experience in applying statistical methodologies to drug development and clinical trial analyses
• Develop an understanding of regulatory and compliance standards, including how regulatory guidelines influence statistical analyses in clinical trials.
• Strengthen project and time management by contributing projects with defined timelines, deliverables and cross-functional collaborations.
• Learn to apply machine-learning and predictive modeling techniques to support future study design and planning.
• Enhance ability to communicate and justify statistical approaches when addressing questions from cross-functionals.

Job Requirements:

• This position will be Hybrid and require 2-3 days in the Cambridge office per week.
• Must be pursuing a PhD in Biostatistics.
• Strong understanding of machine learning concepts and their applications.
• Experience in applying machine-learning methods to predict treatment outcome. based on baseline characteristics and selected post baseline biomarkers.
• Familiarity with statistical techniques of model development and parameter tuning.
• Proficiency in SAS and R programming languages for data manipulation and statistical analysis. Python experience is a plus.

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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