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Medical Signal Processing Jobs (NOW HIRING)

Background working with medical-grade measurement devices and clinical reference standards * Experience with embedded signal processing (ARM, edge devices) * Knowledge of motion artifact removal and ...

Background working with medical-grade measurement devices and clinical reference standards * Experience with embedded signal processing (ARM, edge devices) * Knowledge of motion artifact removal and ...

Background working with medical-grade measurement devices and clinical reference standards * Experience with embedded signal processing (ARM, edge devices) * Knowledge of motion artifact removal and ...

Signal Processing Engineer

Austin, TX ยท On-site

$121K - $230K/yr

Job Summary We are seeking a talented Signal Processing Engineer to design, develop, and optimize ... Excellent medical, dental, and vision insurance through a PPO plan * Paid holidays * Commuter ...

$109K - $191K/yr

POSITION SPECIFICS We are searching for a motivated and talented Signal Processing Research and ... In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust ...

$90K - $114K/yr

Develop system concepts and signal processing algorithms * Work as part of a small team to ... We offer competitive benefits such as best-in-class medical, dental and vision plan choices ...

$112K - $151K/yr

Develop system concepts and signal processing algorithms * Work as part of a small team to ... We offer competitive benefits such as best-in-class medical, dental and vision plan choices ...

$112K - $151K/yr

Develop system concepts and signal processing algorithms * Work as part of a small team to ... We offer competitive benefits such as best-in-class medical, dental and vision plan choices ...

$90K - $114K/yr

Develop system concepts and signal processing algorithms * Work as part of a small team to ... We offer competitive benefits such as best-in-class medical, dental and vision plan choices ...

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Medical Signal Processing information

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$53.5K

$131.3K

$193.5K

How much do medical signal processing jobs pay per year?

As of Jun 9, 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.

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 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.
More about Medical Signal Processing jobs
Signal Processing Engineer

Signal Processing Engineer

Norbert Health

New York, NY โ€ข On-site

Full-time

Posted yesterday


Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform mounts on mobile robots and does the work of a care team memberrounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.

The position

We're looking for a Signal Processing Engineer to join our algorithm and development team, working on remote vital sign monitoring from video. You'll develop and validate algorithms that extract clinical-grade physiological signals (heart rate, blood pressure, respiration) from camera data, working closely with computer vision engineers in our algorithm team.

What You'll Do:

  • Design and implement signal processing algorithms for extracting vital signs from video-based sensors (rPPG, rBP)
  • Develop real-time filtering, denoising, and feature extraction methods to achieve clinical-grade accuracy
  • Build validation pipelines comparing our video-based measurements against clinical reference devices (ECG, PPG, BP monitors)
  • Help design studies that ensure millisecond-level synchronization between video streams and reference sensors for accurate ground truth
  • Integrate with the computer vision pipeline (C++) to leverage multi-modal signal enhancement techniques
  • Architect cloud-based QA and automated verification systems for reproducible algorithm validation
  • Prototype algorithms in Python and C++ before deploying them on our production system

What We're Looking For:

  • 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 expertise in physiological signal processing (PPG, ECG, respiration, blood pressure)
  • Experience processing low-frequency physiological signals with challenging SNR characteristics
  • Proficiency in both Python (prototyping) and C++ (production integration)
  • Experience with spectral analysis, adaptive filtering, and time-domain methods for real-time applications
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years industry experience developing signal processing algorithms for medical or physiological sensing applications (or equivalent with PhD)

Bonus Points:

  • Experience with contact-based and contactless vital sign measurement technologies
  • Background working with medical-grade measurement devices and clinical reference standards
  • Experience with embedded signal processing (ARM, edge devices)
  • Knowledge of motion artifact removal and noise reduction in challenging environments
  • Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)
  • Background in medical devices, regulated environments, or clinical validation studie

What We Offer:

  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll define our signal processing approach
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Talented, international team tackling meaningful problems in healthcare
  • Equity participation in the company's future
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Transparent, mission-driven culture focused on continuous learning
  • Competitive salary and equity