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$53.5K

$131.3K

$193.5K

How much do medical signal processing jobs pay per year?

As of Jul 20, 2026, the average yearly pay for medical signal processing in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What are some of the common challenges faced by professionals working in medical signal processing roles?

Professionals in medical signal processing often encounter challenges such as dealing with noisy or incomplete data, ensuring patient privacy while handling sensitive information, and adapting algorithms for real-time processing in clinical environments. Additionally, collaborating with clinicians to understand medical requirements and validate the clinical relevance of signal analysis is crucial. Keeping up with advancements in hardware and software tools, as well as regulatory standards for medical devices, is also an ongoing aspect of the role.

What is medical signal processing?

Medical signal processing involves analyzing and interpreting biological signals, such as electrocardiograms (ECG), electroencephalograms (EEG), and other physiological data, to aid in diagnosis, monitoring, and treatment of medical conditions. Specialists in this field use mathematical and computational techniques to extract meaningful information from noisy or complex medical data. Applications include detecting heart abnormalities, monitoring brain activity, and improving imaging techniques. This work plays a crucial role in advancing healthcare technology and patient outcomes.

Will DSP be replaced by AI?

In medical signal processing, DSP (Digital Signal Processing) remains essential for analyzing and filtering physiological signals. AI complements DSP by enabling advanced pattern recognition and automation, but it does not replace the fundamental signal processing skills required in the field. Professionals often combine DSP techniques with AI tools to improve diagnostic accuracy and device performance.

What is the difference between Medical Signal Processing vs Medical Imaging Specialist?

AspectMedical Signal ProcessingMedical Imaging Specialist
Required CredentialsBachelor's or Master's in Biomedical Engineering, Electrical Engineering, or related fields; certifications in signal processingBachelor's or Master's in Radiology, Medical Imaging, or Biomedical Engineering; certifications in imaging techniques
Work EnvironmentResearch labs, hospitals, medical device companiesHospitals, imaging centers, diagnostic labs
Industry UsageDevelops algorithms for analyzing physiological signals like ECG, EEG, EMGOperates and interprets medical imaging equipment like MRI, CT, ultrasound
Common Search/ComparisonOften compared for technical skills and data analysisCompared for imaging techniques and clinical applications

Medical Signal Processing focuses on analyzing physiological signals to assist diagnosis and research, while Medical Imaging Specialists operate imaging equipment to produce and interpret visual diagnostic images. Both roles require biomedical knowledge but differ in their core functions and work environments.

What engineer makes $500,000 a year?

In the field of medical signal processing, senior engineers with extensive experience, advanced degrees, and specialized skills can reach salaries around $500,000 annually, especially in leadership roles or at top-tier companies. Such compensation often includes bonuses, stock options, or other incentives and typically requires expertise in algorithms, hardware integration, and regulatory standards.

What are the key skills and qualifications needed to thrive as a Medical Signal Processing Engineer, and why are they important?

To thrive as a Medical Signal Processing Engineer, you need a solid background in biomedical engineering, signal processing, and mathematics, typically supported by a relevant degree. Familiarity with programming languages like MATLAB or Python, experience with medical imaging tools, and knowledge of regulatory standards are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting data and collaborating with healthcare professionals. These skills ensure accurate analysis of medical signals, support clinical decision-making, and contribute to the development of reliable healthcare technologies.

Does digital signal processing pay well?

Medical signal processing is a specialized field within biomedical engineering, and professionals with expertise in digital signal processing often earn competitive salaries due to the technical skills required. Salaries vary based on experience, education, and location, but generally, roles in this area offer above-average compensation compared to many other engineering disciplines.

Is signal processing a good career?

Medical signal processing is a specialized field that involves analyzing and interpreting biomedical signals such as ECG, EEG, and imaging data. It offers opportunities in healthcare technology, research, and device development, often requiring knowledge of algorithms, programming, and medical standards. The field is growing with advancements in medical devices and digital health, making it a promising career choice for those interested in both engineering and healthcare.
More about Medical Signal Processing jobs
What job categories do people searching Medical Signal Processing jobs look for? The top searched job categories for Medical Signal Processing jobs are:
Medical Signal Processing jobs near you
Infographic showing various Medical Signal Processing job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $131,349 per year, or $63.1 per hour.
Signal Processing Engineer / Computer Scientist

Signal Processing Engineer / Computer Scientist

Envisioneering, Inc

Washington, DC • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

Job Title
Signal Processing Engineer / Computer Scientist
Location
Washington, DC 20375 US (Primary)
Job Type
Full-Time
Education
Bachelor's Degree
How much will you travel if the job requires it?
0 - 25%
Minimum Security Clearance Required
Secret
Job Description
Envisioneering, Inc. has an immediate opening for a full-time Signal Processing Engineer/Computer Scientist to support the Naval Research Laboratory (NRL) in development of naval combat system Hardware Accelerated Threat Simulation (HATS) test beds. This position is an opportunity to join a team that offers innovative, exciting, and meaningful work linking military and civilian talents to achieve our mission and safeguard our freedoms. The Signal Processing Engineer/Computer Scientist is responsible for creating state-of-the-art algorithms for electronic support (ES), typically embedded in experimental real-time hardware systems. The work is performed primarily on-site at the NRL. We are seeking a candidate with strong communications skills and the ability to work in a collaborative team environment.
SUMMARY RESPONSIBILITIES:
  • Implement and test algorithms on embedded processors in support of developing advanced electronic warfare (EW) capabilities against radar and communication systems.
  • Implement signal processing on the suitable class of embedded processors ranging from relatively simple microprocessors to parallel processing using GPUs under the guidance of senior system and digital design engineers.
  • Implement algorithms using Matlab, Python, Java, and C++ on appropriate processing platforms.
  • Make enhancements to previously written software and develop new software as necessary to meet Research and Development project goals.
  • Develop analytic procedures and implement computer programs to perform data transport, signal processing, signal analysis and database manipulation.
  • Retrieve, store, and control data on Field Programmable Gate Arrays (FPGAs), dynamic or static memory, Graphical Processing Units (GPUs), Digital Signal Processing (DSP) cards, or other embedded processors.
  • Determine how processing requirements are distributed between specialized microprocessors, FPGAs, single board computers, graphical processing units, or other embedded processors.
  • Develop Electronic Support Measure (ESM) software that operates in conjunction with ESM hardware. You will conduct laboratory and field-testing of ESM systems and techniques.
  • Develop research ideas and prepare briefing materials to present new Research and development concepts in order to solicit new projects.
  • Perform upgrades to existing ESM systems and be part of the design process for any new systems that are developed.
  • Investigate the potential for RF System on Chip (RFSoC) technology that is currently emerging as a viable approach to create more efficient ESM systems.
  • Write formal and informal reports and provide oral briefings to laboratory management and program sponsors.

Job Requirements
Minimum Skills/ Qualifications:
  • Five years of work experience in electromagnetic signal processing, particularly radar-related. Experience implementing signal processing algorithms on various platforms desired.
  • Knowledge of Radio Frequency (RF) signal behavior and/or digital hardware.
  • Knowledge and experience programming in Matlab, Python, and Java. Familiarity with C++, VHDL, and Verilog is desired.
  • Understanding of networking, including the details of socket interfaces and TCP and UDP networking protocols. You will interface with FPGAs.
  • Working knowledge of FPGAs, scripting language interfaces (VHDL and/or Verilog), and of tools related to the programming, utilization, and debugging of hardware/software interfaces.
  • Basic scientific, mathematical, and technical competence.
  • Demonstrated software engineering skills: reading code, designing, implementing, and validating new capabilities, working within a team environment, and effective writing.
  • Ability to understand mathematical and electrical engineering concepts at an undergraduate level.
  • Able to lift object up to 50 LBS.
  • Some travel may be required.
  • DoD Secret Clearance. Ability to obtain a Top Secret clearance after hiring.

Education:
  • Bachelor's degree in Engineering, Mathematics, Computer Science, or Physics from an accredited college or university (minimum 3.0 GPA). Advanced degree is desired.

SALARY RANGE: $120,000.00 - $150,000.00
BENEFITS: Envisioneering, Inc. offers a stable work environment, a competitive salary, and a comprehensive benefits package including 401k, Medical/Dental/Vision, FSA, Short Term, Long Term, AD&D and Life insurance, (employer paid), voluntary life, Tuition Reimbursement, Paid Leave, Holidays and much more.
AS A CONDITION OF EMPLOYMENT: You must pass a drug and pre-employment screening. U.S. Citizenship Required. *A Department of Defense (DoD) Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Please confirm in your cover letter or resume.
Envisioneering Inc. is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship and immigration status, age, disability or handicap, sex (including pregnancy), marital status, veteran status, sexual orientation, genetic information, arrest record, hairstyle, or any other characteristic protected by applicable federal, state, or local laws. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, and general treatment during employment. Envisioneering Inc. is committed to creating and maintaining a workplace in which all employees have an opportunity to participate and contribute to the success of the business and are valued for their skills, experience, and unique perspectives.

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