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Group | Co-Op | Biomedical Image Processing and Machine Learning

Job in Lexington, Middlesex County, Massachusetts, 02173, USA
Listing for: MIT Lincoln Laboratory
Full Time position
Listed on 2026-01-30
Job specializations:
  • Engineering
    Computer Science
Salary/Wage Range or Industry Benchmark: 24.5 - 31 USD Hourly USD 24.50 31.00 HOUR
Job Description & How to Apply Below
Position: Group 02-24 | Co-Op | Biomedical Image Processing and Machine Learning | June - December 2026

Position Description

Our team is looking for a Co‑Op student to solve challenging AI/ML and image processing problems for biomedical technologies. You will work with engineers, scientists, and clinicians to prepare and process large biomedical datasets (ultrasound, microscopy, x‑ray), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced medical imaging technologies.

Responsibilities
  • Prepare, process, and analyze large biomedical datasets (ultrasound, microscopy, x‑ray).
  • Develop and evaluate machine learning, deep learning, and statistical pattern recognition algorithms.
  • Implement data visualization and high-performance cloud computing tools.
Requirements
  • B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or related degree.
  • Experience with Python, MATLAB, and machine learning coursework or practical experience.
Preferred (not required)
  • Biomedical signal/image processing experience.
  • Interest in embedded AI/TinyML.
Compensation
  • Technical Co‑Op: $24.50–$31.00 per hour (based on year in school).
  • Administrative Co‑Op: $21.50–$25.00 per hour (based on year in school).
Additional Information

Selected candidate will be subject to a pre‑employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

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