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Biomedical Signal Processing Postdoctoral Jobs (NOW HIRING)

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$110K - $152K/yr

... Biomedical Signal Processing systems • Design, train and evaluate machine learning models using large datasets in the cloud • Prototype new ideas/technologies to create proof of concept and demos ...

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 ...

Postdoctoral Associate Apply now Back to search results Job no: 536028 Work type: Research Faculty ... Strong foundation in signal processing, including estimation and detection theory, and wireless ...

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 ...

Post Doctoral Research Fellow

Minneapolis, MN · On-site

$51K - $69K/yr

The Postdoctoral Research Fellow will be an integral part of a multidisciplinary research team and ... Signal processing, biomedical engineering, or psychophysiology background. * Experience with MATLAB ...

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 ...

Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing * Proven understanding of data preprocessing, feature extraction, and model evaluation ...

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 ...

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Biomedical Signal Processing Postdoctoral information

See salary details

$25K

$59K

$83.5K

How much do biomedical signal processing postdoctoral jobs pay per year?

As of Jun 4, 2026, the average yearly pay for biomedical signal processing postdoctoral in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biomedical Signal Processing Postdoctoral researcher, and why are they important?

To thrive as a Biomedical Signal Processing Postdoctoral researcher, you need a Ph.D. in biomedical engineering, electrical engineering, or a related field, with strong expertise in signal processing and data analysis. Proficiency in programming languages such as MATLAB or Python and experience with specialized software like LabVIEW or EEGLAB are typically required. Excellent problem-solving skills, teamwork, and effective communication set top candidates apart in collaborative research environments. These skills and qualifications are essential for advancing innovative research, efficiently analyzing complex biomedical data, and contributing to multidisciplinary teams.

What are some common interdisciplinary collaborations for a Biomedical Signal Processing Postdoctoral researcher?

Biomedical Signal Processing Postdoctoral researchers frequently collaborate with clinicians, biomedical engineers, computer scientists, and statisticians. These partnerships are essential for acquiring high-quality physiological data, interpreting clinical requirements, and developing robust signal analysis algorithms. Working in multidisciplinary teams helps ensure research outcomes are both scientifically rigorous and clinically applicable, providing valuable experience in translating technical solutions to real-world healthcare problems.

What is a Biomedical Signal Processing Postdoctoral researcher?

A Biomedical Signal Processing Postdoctoral researcher is a scientist who has completed their Ph.D. and conducts advanced research in analyzing biological signals, such as EEG, ECG, or MRI data, often using computational and statistical methods. Their work typically involves developing new algorithms and tools to process, interpret, and extract meaningful information from complex biomedical data. These researchers often collaborate with clinicians and engineers to improve medical diagnostics, monitoring, and treatment. Their role is crucial in advancing healthcare technologies and understanding physiological processes.

What is the difference between Biomedical Signal Processing Postdoctoral vs Biomedical Data Analyst?

AspectBiomedical Signal Processing PostdoctoralBiomedical Data Analyst
Required CredentialsPhD in Biomedical Engineering, Signal Processing, or related fieldBachelor's or Master's in Data Science, Bioinformatics, or related field; sometimes PhD
Work EnvironmentResearch labs, universities, academic institutionsHospitals, healthcare companies, research organizations
Employer & Industry UsageAcademic research, grants, university projectsHealthcare analytics, biotech firms, clinical data analysis

The Biomedical Signal Processing Postdoctoral role focuses on advanced research in signal analysis, often within academic settings, requiring a PhD. In contrast, a Biomedical Data Analyst applies data analysis skills to healthcare data in industry environments, often with a bachelor's or master's degree. Both roles involve working with biomedical data but differ in their focus, environment, and credential requirements.

Sr Engineer, AI/Machine Learning

Sr Engineer, AI/Machine Learning

Masimo

Irvine, CA • On-site

$110K - $152K/yr

Full-time

Posted 19 days ago


Job description

Job Summary:
Masimo is a company focused on designing and creating next-generation health monitoring devices. The Sr Engineer, AI & ML will be responsible for developing AI and ML models, working with data from various sources, and collaborating with teams to ensure efficient deployment in Masimo products.
Responsibilities:
• Design and develop AI and ML models to solve complex problems
• Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar software
• Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems
• Design, train and evaluate machine learning models using large datasets in the cloud
• Prototype new ideas/technologies to create proof of concept and demos
• Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
• Work with cross-functional teams in the R&D group, including hardware and software engineers
• Effectively communicate with engineering and marketing teams
• Design clinical studies to collect physiological data from human subjects, perform data collection and analysis of physiological data
• Carry out statistical analysis of clinical data
• Implement physiological parameter measurement algorithms on embedded systems
• Deliver high quality software design, documentation and implementation
• Performs other duties as assigned
Qualifications:
Required:
• At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling
• Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.
• Expertise in data analysis and data mining
• Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc.
• Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods
• Familiarity with DSP architecture and embedded systems
• Exposure to DSP Programming
• Excellent conceptual, analytical, and problem-solving abilities
• Ability to excel in a fast-paced and dynamic work environment
• Excellent verbal and written communication skills
• M.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field required
Preferred:
• Understanding of human physiology and exposure to designing clinical protocols are preferred
• Prior experience in application of AI/ML and signal processing techniques tools to bio-medical signals is a plus
Company:
Masimo is a medical technology company that develops and manufactures noninvasive patient monitoring devices for healthcare settings. It is a sub-organization of Danaher. Founded in 1989, the company is headquartered in Irvine, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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About Masimo

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1989

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