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Job Description

Takeda has been translating science into breakthrough medicines for 240 years. Every step of the way, our teams have worked together to tackle some of the most challenging problems in drug discovery and development. Today, we’re a driving force behind innovative therapies that make a lasting difference to millions of patients around the world. 

In R&D, all of our history and potential comes together in an environment that welcomes diversity of thought and amplifies every voice. Working closely with colleagues, you’ll play a key role in bringing our rich pipeline of products forward to help patients. Come join a team that’s earned trust for more than two centuries, and find out how advancing transformative therapies at Takeda will shape your bright future. 

Job Description:

As a Graduate Intern in Machine Learning and Digital Pathology, you will have the opportunity to contribute to digital biomarker development and help drive the development of immunotherapies for patients in need. This internship is designed to immerse you in the forefront of medical research, offering hands-on experience and the opportunity to collaborate with leading industry professionals in a dynamic and collaborative environment.

How You Will Contribute:

Collaborate with our internal and external teams to interpret machine learning model outputs related to disease patterns in clinical pathology imagesReview clinical slides with experienced pathologist after deployment of machine learning algorithms to help further the understanding of model outputs and their implications for patient diagnosis and treatmentContribute to the development of innovative quantitative biomarkers related to the tumor microenvironment to help predict patient response to potential immunotherapiesAnalyze and interpret complex data sets to extract actionable insights that will inform strategic decisions, and effectively communicate these findings to the team and stakeholders.Partner with cross-functional teams to develop and implement innovative approaches for data analysis, contributing to the continuous improvement of our research processAssist in the design and execution of experiments to validate and optimize machine learning models, ensuring their efficacy and reliability in the field of digital pathology

 

Internship Development Opportunities:

The candidate will have the opportunity to:

Deploy image analysis and data science techniques on H&E images to further our understanding of the tumor microenvironment

Design and execute experiments to elucidate tumor immune phenotypes, response to immunotherapy, tumor heterogeneity, and patient stratification

Job Requirements:

This position will Hybrid and require 2-3 days in the Cambridge, MA office per week.Currently enrolled in a graduate program in Computer Science, Bioinformatics, Pathology, or a related field A strong foundation in biology, chemistry, biochemistry, histology or a related scientific fieldDemonstrated experience or coursework in machine learning, and data analysis, and/or image analysis (traditional or ML-based techniques)Knowledge and interest in pathology and its application in the healthcare industryInternet skills including use of e-mails, group messaging and information gatheringHighly reliable and a strong team playerFlexible with an attention to detailStrong verbal and written communication skills

Internship Eligibility

Must be authorized to work in the U.S. on a permanent basis without requiring sponsorshipMust be currently enrolled in a degree program graduating December 2025 or laterThe internship program is 10-12 weeks depending on the two start dates (June 2nd- August 29th) or (June 16th - August 22nd)The intern must be able to commit to one of these time framesAble to work full time 40 hours a week during internship datesTakeda 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 responsibilitiesDedicated mentorship program pairing interns with experienced professionalsNetworking opportunities with industry professionals and fellow internsInternship events focused on professional and skills developmentExposure to multiple business areas or departments within a Pharmaceutical Organization

Applications will be accepted between December 18th and January 10th

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 location 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 fitness center (where available) 

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.

LocationsBoston, MA

Worker TypeEmployee

Worker Sub-TypeRegular

Time TypeFull time

Job Exempt

No