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Biomedical Signal Processing Jobs in Massachusetts

Varsity Tutors

Biomedical Engineering Tutor

Waltham, MA · Remote

$18 - $40/hr

Ability to explain signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering ...

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Biomedical Engineering Tutor

Lowell, MA · Remote

$18 - $40/hr

Ability to explain signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering ...

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Biomedical Signal Processing information

What is biomedical signal processing?

A Biomedical Signal Processing job involves analyzing physiological signals, such as ECG, EEG, and EMG, to extract meaningful information for medical diagnosis, treatment, and research. Professionals in this field use mathematical models, algorithms, and machine learning techniques to improve healthcare technologies. They work in hospitals, research institutions, medical device companies, and academia to develop and optimize signal processing methods for clinical applications.

What does someone working in biomedical signal processing do?

Professionals in Biomedical Signal Processing often spend their days analyzing physiological signals such as EEGs, ECGs, or EMGs, designing algorithms to interpret data, and validating systems to ensure accuracy and reliability. They collaborate closely with clinicians, researchers, and software developers to translate clinical needs into effective technical solutions. Tasks may also include testing prototypes, troubleshooting data acquisition systems, and preparing reports or research publications. This role can be a mix of independent analytical work and cross-functional teamwork, offering both technical and collaborative challenges.

What are the key skills and qualifications needed to thrive in biomedical signal processing?

To thrive in Biomedical Signal Processing, you need a solid background in biomedical engineering, signal analysis, and quantitative methods, typically supported by a relevant degree or advanced coursework. Familiarity with MATLAB, Python, LabVIEW, and signal processing toolboxes, as well as knowledge of regulatory standards like FDA or ISO, is essential. Critical thinking, attention to detail, and strong communication skills help professionals collaborate effectively with multidisciplinary teams. These competencies are crucial for developing accurate, reliable solutions that support patient care and medical research.

What are popular job titles related to Biomedical Signal Processing jobs in Massachusetts?

For Biomedical Signal Processing jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Biomedical Signal Processing jobs in Massachusetts look for?

The top searched job categories for Biomedical Signal Processing jobs in Massachusetts are:

What cities in Massachusetts are hiring for Biomedical Signal Processing jobs?

Cities in Massachusetts with the most Biomedical Signal Processing job openings:

Biomedical Signal Processing jobs near you
Infographic showing various Biomedical Signal Processing job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Group 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026

Lexington, MA • On-site

MIT Lincoln Laboratory
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about MIT Lincoln Laboratoryexternal

$21.50 - $25/hr

Full-time

Re-posted 10 days ago

Job description

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.

Position Description

Our team is looking for a Co-Op student with an interest in solving challenging AI/ML problems using biomedical signal processing and wearable technology. Through this opportunity, you will work with a multi-disciplinary team

consisting of engineers, scientists, and clinicians to prepare and process large biomedical and physiological datasets (e.g.,PPG, accelerometry, EOG, EEG, commercial-off-the-shelf wearable data, etc), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced prediction and inference of physiological status (i.e. fatigue, illness, stress, etc). We are looking for students who are self-motivated

and interested in signal processing, machine learning, deep learning, statistical pattern recognition, and high-performance computing.

Requirements/Skills

  • The candidate is a student in a B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree.
  • Experience with Python, MATLAB and machine learning (coursework or practical)

Preferred (not required)

  • Biomedical signal processing and/or time series analysis experience
  • Experience with Python and deep learning libraries like: Pytorch, JAX, and/or keras
  • Interest in AI meta-learning, foundation models / self-supervised learning, continual learning, one-shot and/or transfer learning

Compensation for 2026

  • 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)

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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