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Biosignal Processing Jobs (NOW HIRING)

Internship Program

New York, NY

$18.25 - $23.75/hr

Contribute to development of real-time software systems for neural signal processing and data ... Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis. * Familiarity with ...

Build and maintain the data processing codebase to transform raw biosignal data into digital biosignals for customers. * Maintain data quality monitoring dashboards for Sibel customers and academic ...

New

Participate in and lead the entire biosignal-based algorithm development lifecycle for medical ... You are experienced with digital signal processing (DSP) and statistics and care about using the ...

Participate in and lead the entire biosignal-based algorithm development lifecycle for medical ... You are experienced with digital signal processing (DSP) and statistics and care about using the ...

Senior Algorithm Scientist

San Diego, CA · On-site +1

$97K - $132K/yr

Experience with signal processing methods and time-series analysis (FIR/IIR filters, Kalman filtering, adaptive filtering, stochastic processes, etc) * Experience with biosignal sensing and wearable ...

Soft tooling and early production processes Support build cycles (Proto, EVT, DVT), including ... sensors (optical, biosignal, or motion sensing) into physical products Familiarity with:

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Biosignal Processing information

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$14

$25

$48

How much do biosignal processing jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for biosignal processing in the United States is $25.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $29.57 per hour, depending on experience, location, and employer.

What is biosignal processing?

Biosignal processing is the analysis and interpretation of biological signals, such as those produced by the heart (ECG), brain (EEG), muscles (EMG), and other physiological systems. Professionals in this field use engineering and computational techniques to filter, analyze, and extract meaningful information from these signals for medical diagnostics, health monitoring, or research purposes. The field combines knowledge from biology, engineering, and computer science to help improve patient care and advance medical technology.

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

To thrive in Biosignal Processing, you need a strong background in biomedical engineering, signal processing, and mathematics, often supported by a relevant degree. Familiarity with tools like MATLAB, Python, and specialized software such as LabVIEW, as well as knowledge of signal filtering and analysis algorithms, is essential. Critical thinking, problem-solving, and effective communication are important soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills are crucial for accurately analyzing physiological signals and developing effective biomedical solutions that improve patient outcomes.

What are some common challenges faced by professionals in biosignal processing roles, and how can they be addressed?

Professionals in biosignal processing often encounter challenges such as dealing with noisy or incomplete physiological data, ensuring real-time processing capabilities, and maintaining data privacy and security. Addressing these challenges typically involves implementing advanced filtering and artifact removal techniques, optimizing algorithms for efficiency, and adhering to strict data protection protocols. Collaborating closely with clinicians, engineers, and data scientists can also help ensure solutions are both technically robust and clinically relevant.
More about Biosignal Processing jobs
Infographic showing various Biosignal Processing job openings in the United States as of July 2026, with employment types broken down into 4% As Needed, 77% Part Time, 4% Temporary, 12% Contract, and 3% Nights. Highlights an 71% Physical, 5% Hybrid, and 24% Remote job distribution, with an average salary of $52,986 per year, or $25.5 per hour.

Internship Program

Synaptrix Labs

New York, NY

$18.25 - $23.75/hr

Full-time, Internship

Re-posted 29 days ago


Job description

About Synaptrix Labs Inc.

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.

We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you.

Responsibilities:

Depending on your background and interests, you may:

  • Contribute to development of real-time software systems for neural signal processing and data visualization.
  • Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems.
  • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
  • Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
  • Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices.
  • Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation.
  • Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering.
  • Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects.

Minimum Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.
  • Demonstrated experience with one or more of the following:
    • Software: Python, C++, or JavaScript
    • Machine Learning: PyTorch, TensorFlow, or JAX
    • Hardware: Arduino, PCB design, or embedded systems
    • Design: Figma, Fusion 360, SolidWorks, or similar tools
  • Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
  • Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
  • Availability for an internship in New York City.

Preferred Qualifications:

  • Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis.
  • Familiarity with deep learning for time-series or multimodal data.
  • Experience designing assistive devices, wearables, or medical technology.
  • Portfolio, GitHub, or research projects demonstrating creative technical work.
  • Interest in startups, prototyping, and early-stage innovation.

About our Culture:

At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.
As an intern, you'll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You'll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one.

What We Offer:

  • Hands-on experience in one of the world's most exciting emerging fields: brain-computer interfaces
  • Opportunity to contribute to technology that directly improves lives
  • Mentorship from scientists, engineers, and founders building real neurotechnology products
  • Dynamic NYC workspace blending lab, workshop, and creative studio environments
  • Potential for full-time conversion after graduation