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Biomedical Signal Processing Jobs (NOW HIRING)

Signal Processing Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ...

Master's degree in Electrical Engineering, Biomedical Engineering, or related field (or PhD) * Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep ...

Master's degree in Electrical Engineering, Biomedical Engineering, or related field (or PhD) * Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep ...

... biomedical signal processing, including significant hands-on ECG waveform analysis experience. * Deep expertise in digital signal processing, statistical modeling, and algorithm optimization.

... biomedical signal processing, including significant hands-on ECG waveform analysis experience. * Deep expertise in digital signal processing, statistical modeling, and algorithm optimization.

Senior Algorithms Engineer

Wilmington, MA

$114K - $156K/yr

The ideal candidate has strong foundation in biomedical signal processing and data analytics with a proven record of developing algorithms for real-time or near-real-time systems. This role requires ...

Senior Algorithms Engineer

Wilmington, MA · On-site

$114K - $156K/yr

The ideal candidate has strong foundation in biomedical signal processing and data analytics with a proven record of developing algorithms for real-time or near-real-time systems. This role requires ...

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Signal processing techniques to analyze physiological data. Preferred Qualifications Experience ... MS/PhD in Biomedical, Optical Engineering or related field. Minimum Qualifications In-depth ...

Signal processing techniques to analyze physiological data. Preferred Qualifications Experience ... PhD in Biomedical, Optical Engineering or related field. Minimum Qualifications In-depth ...

... biomedical signal processing, machine learning, and image analysis, multi-scale modeling, translational computation. Outstanding candidates at the interface of computational biomedical engineering ...

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Biomedical Signal Processing information

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How much do biomedical signal processing jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for biomedical signal processing in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 per hour, depending on experience, location, and employer.

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 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.

More about Biomedical Signal Processing jobs
What cities are hiring for Biomedical Signal Processing jobs? Cities with the most Biomedical Signal Processing job openings:
What states have the most Biomedical Signal Processing jobs? States with the most job openings for Biomedical Signal Processing jobs include:
Infographic showing various Biomedical Signal Processing job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $59,333 per year, or $28.5 per hour.

Signal Processing Engineer

CoVar

Durham, NC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

Signal Processing Engineer

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop signal processing algorithms and software to solve real-world customer problems. You will develop novel and advanced algorithms for sense making and sensor decision making for applications in the RF domain to include detection, localization, classification, tracking and EW. You will design and implement simulations for these RF applications as well as evaluate results on real world data. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Key Responsibilities

  • Algorithm Development: Design, implement, and optimize signal and array processing algorithms for RF applications, detection, localization, tracking, channel estimation, beamforming, and spectral analysis.
  • Data Analysis: Process and interpret RF datasets for signal detection, classification, tracking, parameter estimation, and pattern recognition.
  • Prototyping & Testing: Develop simulation models (e.g., Python, MATLAB) and implement algorithms on real-time platforms such as FPGAs, GPUs, or SDRs (Software-Defined Radios).
  • RF System Integration: Collaborate with hardware engineers to integrate digital signal processing (DSP) algorithms into RF systems and ensure optimal end-to-end performance.
  • Performance Evaluation: Conduct laboratory and field testing to validate system performance under various operational conditions.
  • Research & Innovation: Stay up to date with emerging RF technologies, advanced signal processing techniques, and industry best practices.
  • Documentation: Prepare technical reports and presentations for internal and external stakeholders.

Minimum qualifications

  • B.S., M.S., or Ph.D in Electrical Engineering, Computer Engineering, Applied Physics, Applied Mathematics, or a related field.
  • 3+ years of experience in RF signal processing or a related discipline.
  • Strong proficiency in one or more of the following programming languages: Python, C/C++, or MATLAB.
  • Experience in the following areas:
    • RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation
  • Ability to work with cross-functional engineering teams and clearly communicate complex technical concepts.
  • Ability to work in Durham, NC (relocation assistance available)
  • Eligibility for US security clearance

Preferred qualifications

  • Experience with:
    • Radar signal processing in Department of Defense (DoD) specific applications including electronic warfare (EW) techniques such as electronic support measures, attack, protection, and cognitive EW.
    • AI/ML algorithm design in the areas of computer vision, reinforcement learning (RL), and natural language processing.
    • Spectrum monitoring and signal classification using machine learning techniques.
    • Translating the mission needs of DoD customers into an end-to-end technical solution.
    • Proposal development and proposal writing.
  • Familiarity with FPGA or GPU acceleration for high-performance DSP.
  • Proficiency in C/C++ for embedded or real-time applications.
  • Active U.S. security clearance.

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Parental leave
  • Short-term and long-term disability insurance
  • Life insurance
  • Flexible work schedule
  • Tuition support
  • PTO and paid holidays

Visit us: www.covar.com