2026 Summer Internship Program: Audio Processing & Machine Learning Intern

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Job Description

The Quantitative Sciences (SQS) team within Takeda leverages advanced analytics, data science, and AI/ML approaches to enhance drug development. Our team collaborates closely with clinical and translational research groups to design, refine, and validate innovative methodologies that improve outcome assessment and accelerate the evaluation of new therapies. We are currently developing cutting-edge tools to objectively measure symptoms, bridging clinical needs with state-of-the-art computational techniques.

As a Machine Learning & Audio Processing Intern, you will contribute to the development of a novel vomit and retch detection algorithm for clinical audio data. This role provides hands-on experience in machine learning, audio signal processing, and real-world clinical applications, while also offering exposure to regulatory and compliance standards for AI in healthcare.

How You Will Contribute:

As a Machine Learning & Audio Processing Intern, you will have the opportunity to:

• Extract and organize patient audio clips from pre-annotated datasets.

• Integrate synthetic and crowd-sourced audio datasets into the training pipeline.

• Assist in training and refining machine learning models (e.g., EfficientNet, AST) for audio classification.

• Develop and test noise resilience strategies to address interference from environmental sounds.

• Conduct validation studies, including sensitivity, specificity, and cross-validation analysis.

• Maintain detailed documentation of datasets, code, and algorithm performance.
  

Internship Development Opportunities:

• Gain practical experience in applying machine learning and audio signal processing techniques to healthcare challenges.

• Learn how to handle clinical-grade datasets and ensure data privacy compliance.

• Develop a deeper understanding of regulatory and compliance considerations in AI-driven clinical research.

• Collaborate with experts in quantitative sciences, AI/ML, and clinical development at a leading global biopharmaceutical company.
  

Job Requirements:

• This position will be Hybrid out of the Cambridge location.

• Must be pursuing a Master’s or PhD’s degree in Computer Science, Data Science, Electrical Engineering, or a related field.

• Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch).

• Knowledge of audio signal processing and dataset curation techniques.

• Familiarity with GitHub or similar version control systems.

• Strong problem-solving skills, attention to detail, and interest in healthcare applications of AI.

• Ability to work both independently and as part of a collaborative team.

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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