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Biomedical Signal Processing Jobs in New York (NOW HIRING)

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 ...

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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 14, 2026, the average hourly pay for biomedical signal processing in New York is $31.21, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $35.24 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 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 job categories do people searching Biomedical Signal Processing jobs in New York look for? The top searched job categories for Biomedical Signal Processing jobs in New York are:
Infographic showing various Biomedical Signal Processing job openings in New York as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Temporary. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $64,912 per year, or $31.2 per hour.
Signal Processing Engineer

Signal Processing Engineer

Norbert Health

Brooklyn, NY

Full-time

Posted 7 days ago


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 member-rounding 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
Employment Type: FULL_TIME