About The Position

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.

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.
  • 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 hours a week during internship dates

Nice To Haves

  • Python experience is a plus.

Responsibilities

  • 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.

Benefits

  • 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.
  • 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 )

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What This Job Offers

Job Type

Full-time

Career Level

Intern

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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