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Biomedical Signal Processing Jobs in Massachusetts

Draper

FPGA Design Engineer

Cambridge, MA · On-site

$75K - $156K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... Experience implementing digital signal processing algorithms * Strong analysis and problem-solving ...

Draper

FPGA Design Engineer

Cambridge, MA

$75K - $156K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... Experience implementing digital signal processing algorithms * Strong analysis and problem-solving ...

Draper Labs

FPGA Design Engineer

Cambridge, MA · On-site

$75K - $156K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... Experience implementing digital signal processing algorithms * Strong analysis and problem-solving ...

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Biomedical Signal Processing information

What are some typical daily responsibilities for someone working in Biomedical Signal Processing?

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 is the highest paying biomedical job?

In biomedical signal processing, senior roles such as biomedical engineering managers or lead researchers tend to have the highest salaries, often exceeding six figures. These positions typically require advanced degrees, extensive experience, and expertise in areas like medical device development, data analysis, and regulatory compliance.

What is the salary of a biomedical signal processing engineer?

The salary of a biomedical signal processing engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, location, and industry. Entry-level positions may start lower, while experienced professionals or those in specialized roles can earn higher salaries, especially with advanced skills in signal analysis and programming tools like MATLAB or Python.

Does signal processing pay well?

Biomedical signal processing is a specialized field that often offers competitive salaries, especially for those with advanced degrees and skills in algorithms, programming, and data analysis. Salaries can vary based on experience, location, and industry, with roles in healthcare, research, and technology typically providing higher compensation.

What are the key skills and qualifications needed to thrive in the Biomedical Signal Processing position, and why are they important?

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 is a Biomedical Signal Processing job?

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.

Are bioengineers paid well?

Biomedical signal processing is a specialized field within biomedical engineering, and professionals in this area typically earn competitive salaries that reflect their technical skills and education. Entry-level positions often start with moderate pay, while experienced engineers with advanced certifications can earn higher salaries, especially in research, development, or clinical environments.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, and 12% Remote job distribution.
Tech Staff Neurocognitive Analysis, Modeling, and Simulation

Tech Staff Neurocognitive Analysis, Modeling, and Simulation

MIT Lincoln Laboratory

Lexington, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 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. 

Job Description

The Human Health & Performance Systems Group is searching for a candidate to participate in and lead projects related to detecting, monitoring, and rehabilitating psychological, neurological and sensory (e.g., auditory, visual, vestibular) disorders, neurotrauma, and cognitive overload and fatigue. Analysis involves features based on mechanistic neuro-biophysical and neuro-motor computational modeling, neuromorphic (software and hardware) simulations, neural interface (e.g., EEG) technology, and machine learning coupled to brain imaging and neural tracing representations. We seek nonintrusive interactive interfaces to maximize effect of treatment and training and maximize resilience. Interfaces can take the form of neural and physiological wearables, sensory feedback therapies, and virtual humans and environments.

The candidate will assist in developing neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis.  As experience is gained, the candidate will be required to generate their own innovative ideas and seek support for these program ideas.  Background is required in advanced signal processing and machine learning. Background is desired in neuroscience (preferably modeling of neuro-motor and sensory systems and the neural basis of speech perception and production and vision).  It is also desirable that the candidate have skills in neuromorphic computing (software and hardware) at both neural system and neural cell levels for real-time neurocomputational simulations.  Hardware development experience is desirable.  Candidate should also demonstrate abilities that include programming with Python, and/or C++, as well as statistical analysis and machine learning (scikit-learn, PyTorch, Tensorflow) capabilities. The candidate should hold a Ph.D. or Sci.D. in Biomedical Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Neurocognitive Science, Speech/Hearing Sciences, or a similar technical field.

Recent Graduate Hiring Range: $145,200 - $170,000

Experienced Hiring Range: $145,200 - $220,000

 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

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.

 

Requisition ID: 42798 

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