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Biomedical Signal Processing Engineer Jobs in New York

... signal processing, and computational neuroscience, not just better hardware. Our mission is to ... PhD in Neuroscience, Biomedical Engineering, Computer Science, Bioengineering, or related field

... signal processing, and computational neuroscience, not just better hardware. Our mission is to ... PhD in Neuroscience, Biomedical Engineering, Computer Science, Bioengineering, or related field

... signal processing, and computational neuroscience, not just better hardware. Our mission is to ... PhD in Neuroscience, Biomedical Engineering, Computer Science, Bioengineering, or related field

Process work orders through the Qualer ticketing system and coordinate and track completion of ... Associate's degree in Electronics, Biomedical Engineering, or related field preferred * 2 or more ...

New

Process work orders through the Qualer ticketing system and coordinate and track completion of ... Associate's degree in Electronics, Biomedical Engineering, or related field preferred * 2 or more ...

... signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications, and prepared for conducting human subject research including ...

Showing results 41-60

Biomedical Signal Processing Engineer information

See New York salary details

$58.5K

$143.7K

$211.7K

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

As of Sep 5, 2026, the average yearly pay for biomedical signal processing engineer in New York is $143,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $161,400.00 per year, depending on experience, location, and employer.

What does a biomedical signal processing engineer do?

A Biomedical Signal Processing Engineer develops algorithms and techniques to analyze physiological signals such as ECG, EEG, and EMG. They apply signal processing methods to extract meaningful information for medical diagnostics, device development, and healthcare applications. Their work involves filtering noise, detecting patterns, and enhancing signal quality to improve medical decision-making. They often collaborate with clinicians, data scientists, and hardware engineers to create innovative healthcare technologies.

What are the key skills and qualifications needed to thrive as a biomedical signal processing engineer?

To thrive as a Biomedical Signal Processing Engineer, you need a strong background in biomedical engineering, electrical engineering, or a related field, with expertise in digital signal processing and data analysis. Familiarity with MATLAB, Python, LabVIEW, and signal processing toolboxes, as well as knowledge of medical device regulations and standards, is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills are also essential. These competencies enable engineers to accurately interpret complex biological data, develop innovative healthcare solutions, and collaborate successfully with multidisciplinary teams.

What are the most commonly searched types of Biomedical Signal Processing Engineer jobs in New York?

The most popular types of Biomedical Signal Processing Engineer jobs in New York are:

What are popular job titles related to Biomedical Signal Processing Engineer jobs in New York?

For Biomedical Signal Processing Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Biomedical Signal Processing Engineer jobs in New York look for?

The top searched job categories for Biomedical Signal Processing Engineer jobs in New York are:

Infographic showing various Biomedical Signal Processing Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $143,700 per year, or $69.1 per hour.

Data Scientist (biosensor) in NYC, NY 100% ONSITE

Talent Movers

New York, NY • On-site

Contractor

Re-posted 9 days ago


Job description

We are Hiring for Data Scientist (biosensor) in NYC, NY 100% Onsite
Title : Data Scientist
Location: Onsite in NYC, NY
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will contribute to biosensor data analysis and help to guide future biosensing R&D.
Job Responsibilities:
Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets.
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Leverage data visualization to help the team make decisions about future R&D directions to go.
Skills:
Experience with hardware sensors, and data analysis pertaining to real-world data.
Experience with signal processing pertaining to time domain signals and/or medical imaging systems
Experience presenting findings from statistical and machine learning methods to diverse audiences
Experience working with large datasets.
3+ years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
Proficiency in data structures and algorithms.
Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2.
Education/Experience:
Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field.