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Job Description

The Precision & Translational Medicine (PTM) team, part of Oncology Therapeutic Area (OTAU), is on a mission to deliver transformational cures to patients through innovative translational research and development. By translating scientific innovation into the clinic, we aim to de-risk and expedite pre-clinical and clinical development, ensuring the right medicines reach the right patients at the right time. The PTM Strategic Innovations (PSI) team drives advancements in clinical-decision making by integrating cutting-edge technologies into clinical workflows. PSI’s initiatives are grounded in rigorous scientific evaluation and pilot validation, ensuring that innovations are tested in real-world settings and aligned with organizational goals.

Digital pathology is transforming oncology drug development by enabling high-resolution, AI-powered analysis of histology images. At Takeda, our Digital Pathology Accelerator (DPA) team is pioneering efforts to extract spatial and cellular insights from H&E and IHC slides using advanced machine learning models. These models help quantify immune cell populations, automate stain scoring, and correlate tissue features with patient response data. This internship will explore the development and validation of AI/ML models for digital pathology applications and their expanded use in clinical pipelines.

How You** **Will** **Contribute** **:

As a ML/AI Digital Pathology Imaging Intern, you will have the opportunity to…

+ Collaborate with our internal and external teams to interpret machine learning model outputs related to disease patterns in clinical pathology images

+ Contribute to the development of innovative quantitative biomarkers related to the tumor microenvironment to help predict patient response to potential immunotherapies

+ Analyze and interpret complex data sets to extract actionable insights that will inform strategic decisions, and effectively communicate these findings to the team and stakeholders.

+ Assist 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

+ Develop multi-modal ML models using digital pathology foundational model embeddings and related, orthogonal data

+ Evaluate new technologies (e.g. virtual staining) for their feasibility and impact on drug development pipelines

Internship Development Opportunities:

+ Review of 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 treatment

+ Understand the challenges of model generalizability across tissue types, staining protocols, and patient cohorts in real-world settings.

+ Collaborate with cross-functional teams to evaluate the translational and clinical utility of AI-powered tissue analytics in precision medicine

+ Approaches to solving real-world problems in drug development

Job Requirements:

+ This position will be Hybridout of theCambridge, MA location

+ Must be pursuing aDoctoralDegree in Computer Science, Bioinformatics, Pathology, or a related field

+ A strong foundation in biology, chemistry, biochemistry, histology,immunology, or a related scientific field

+ Demonstrated 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 industry

+ Exceptional communication and teamwork abilities

+ Excellent quantitative, analytical, and problem-solving skills

+ Graduate, PhD, MD student with completion of a minimum of one year of university studies

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 26th-August 14th or June 15th- August 21st)

+ 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

+ 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 31st- November 16th

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

$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.

+ 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._

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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