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Biomedical Signal Processing Engineer Jobs in Boston, MA

Draper

Sensor Signal Processing Engineer

Cambridge, MA · On-site

$62K - $140K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... We are seeking Sensor Signal Processing Engineers to concept, develop, and deliver prototype ...

Draper

Sensor Signal Processing Engineer

Cambridge, MA

$62K - $140K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... We are seeking Sensor Signal Processing Engineers to concept, develop, and deliver prototype ...

IC Resources

Signal Processing Engineer

Boston, MA · On-site

Strong signal processing theory, ideally applied to communications systems. Real FPGA experience: design, verification, RTL, simulation. Solid programming in C, C++ or Rust. Good habits around ...

Whoop

Senior Signal Processing Engineer

Boston, MA · On-site

$150K - $215K/yr

WHOOP is seeking a Senior Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role is ...

STR

Principal Signal Processing Engineer

Woburn, MA · On-site

$206K - $284K/yr

Our core team includes principal investigators, program managers, signal processors, SW developers, FPGA expertise, RF and Electromagnetic engineers, and mechanical design experts. Our facilities ...

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All JobsBiomedical Signal Processing Engineer JobsBiomedical Signal Processing Engineer Jobs in Boston, MA

Biomedical Signal Processing Engineer information

See Boston, MA salary details

$58.1K

$142.7K

$210.2K

How much do biomedical signal processing engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for biomedical signal processing engineer in Boston, MA is $142,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $160,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a biomedical signal processing engineer?

To thrive as a Biomedical Signal Processing Engineer, you need a strong background in biomedical engineering, electrical engineering, or a related field, with expertise in digital signal processing and data analysis. Familiarity with MATLAB, Python, LabVIEW, and signal processing toolboxes, as well as knowledge of medical device regulations and standards, is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills are also essential. These competencies enable engineers to accurately interpret complex biological data, develop innovative healthcare solutions, and collaborate successfully with multidisciplinary teams.

What does a biomedical signal processing engineer do?

A Biomedical Signal Processing Engineer develops algorithms and techniques to analyze physiological signals such as ECG, EEG, and EMG. They apply signal processing methods to extract meaningful information for medical diagnostics, device development, and healthcare applications. Their work involves filtering noise, detecting patterns, and enhancing signal quality to improve medical decision-making. They often collaborate with clinicians, data scientists, and hardware engineers to create innovative healthcare technologies.

What are the most commonly searched types of Biomedical Signal Processing Engineer jobs in Boston, MA? The most popular types of Biomedical Signal Processing Engineer jobs in Boston, MA are:
What are popular job titles related to Biomedical Signal Processing Engineer jobs in Boston, MA? For Biomedical Signal Processing Engineer jobs in Boston, MA, the most frequently searched job titles are:
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What cities near Boston, MA are hiring for Biomedical Signal Processing Engineer jobs? Cities near Boston, MA with the most Biomedical Signal Processing Engineer job openings:
Biomedical Signal Processing Engineer jobs near you
Infographic showing various Biomedical Signal Processing Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 90% Full Time, 2% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $142,697 per year, or $68.6 per hour.

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

MIT Lincoln Laboratory

Lexington, MA • On-site

$21.50 - $25/hr

Full-time

Posted 20 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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