2026 Summer Internship Program: Audio Processing & Machine Learning Intern

Company: Takeda
Location: Boston
Posted on: January 5, 2026

Job Description:

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. 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. Internship Eligibility Mustbe authorized towork in the U.S. on a permanent basis without requiring sponsorship Must be currently enrolled in a degree program graduating December 2026or later The internship program is 10-12 weeksdepending on the two start dates (May 26th-August 14thor June 15th- August 21st) The intern must be able to commit to one of thesetime frames Able to work full time40 hoursa 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 November 20th-January 2nd Takeda Compensation and Benefits Summary We understand compensation may bean 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. Locations Boston, MA Worker Type Employee Worker Sub-Type Paid Intern (Fixed Term) (Trainee) Time Type Full time Job Exempt No It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Keywords: Takeda, Hartford , 2026 Summer Internship Program: Audio Processing & Machine Learning Intern, Science, Research & Development , Boston, Connecticut