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Biomedical Engineering R&D Jobs in New York (NOW HIRING)

RWJBarnabas Health

Biomedical Technologist

Long Branch, NJ · On-site

$33.96 - $43.07/hr

Clinical Engineering Req #: 0000238882 Status: Hourly Shift: Day Pay Range: $33.96 - $43.07 per ... D.A. * Assists Manager in giving medical equipment in-services to both operational and technical ...

RWJBarnabas Health

Biomedical Technologist

Long Branch, NJ · On-site

$33.96 - $43.07/hr

Clinical Engineering Req #: 0000238882 Status: Hourly Shift: Day Pay Range: $33.96 - $43.07 per ... D.A. * Assists Manager in giving medical equipment in-services to both operational and technical ...

RWJBarnabas Health

Biomedical Technologist

Cedar Knolls, NJ · On-site

$28.27 - $31.21/hr

Clinical Engineering Req #: 0000239004 Status: Hourly Shift: Day Pay Range: $28.27 - $31.21 per ... D.A. * Assists Manager in giving medical equipment in-services to both operational and technical ...

New York University

Researcher (Part-time)

New York, NY · On-site

$26.37/hr

... programming skills in MATLAB, Python, or R. * Have training in statistical signal processing, machine learning * Be capabile to apply various mathematical algorithms for biomedical engineering ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$48K/yr

... programming skills in MATLAB, Python, or R and training in statistical signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering ...

Pantheon Electric

R & D Design Engineer

Stamford, CT · On-site

Perform engineering analysis including mechanical, thermal, electrical and manufacturability assessments as applicable * Support prototype development, testing and validation analysis activities

Info-Ways

Fluidics Engineer

Tarrytown, NY · On-site

Education/Qualifications Bachelor's Degree with 15 +years of experience in Precision Fluidics Engineering / R&D. Masters or PhD a plus. Please respond with your word resume and requested details:

New York University

RESEARCH SCHOLAR

New York, NY · On-site

... biomedical engineering applications as exemplified by a strong publication record, and will be driven, creative and team-oriented with excellent writing and programming skills in MATLAB, Python, or R.

RWJBarnabas Health

BMET II

New Brunswick, NJ

$35 - $45/hr

D.A. * Assists Manager in giving medical equipment in-services to both operational and technical staff for specified medical devices. Job Requirements: * Minimum AAS degree in Biomedical Engineering ...

RWJBarnabas Health

BMET II

New Brunswick, NJ

$35 - $45/hr

D.A. * Assists Manager in giving medical equipment in-services to both operational and technical staff for specified medical devices. Job Requirements: * Minimum AAS degree in Biomedical Engineering ...

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All JobsBiomedical Engineering R&D JobsBiomedical Engineering R&D Jobs in New York

Biomedical Engineering R D information

See New York salary details

$44.9K

$103.7K

$153.2K

How much do biomedical engineering r&d jobs pay per year?

As of Jun 9, 2026, the average yearly pay for biomedical engineering r&d in New York is $103,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $126,900.00 per year, depending on experience, location, and employer.

What is Biomedical Engineering R&D?

Biomedical Engineering Research and Development (R&D) involves the application of engineering principles to solve problems in biology and medicine. Professionals in this field design, develop, and test medical devices, equipment, diagnostics, and new technologies aimed at improving patient care and health outcomes. The R&D process includes concept development, prototyping, clinical testing, and product refinement, often requiring collaboration between engineers, scientists, clinicians, and regulatory experts. Biomedical Engineering R&D plays a crucial role in advancing healthcare innovation and addressing unmet medical needs.

What is the difference between Biomedical Engineering R&D vs Biomedical Equipment Technician?

AspectBiomedical Engineering R&DBiomedical Equipment Technician
Required CredentialsBachelor's or higher in biomedical engineering or related field; often advanced degreesAssociate's degree or certification in biomedical technology or electronics
Work EnvironmentResearch labs, product development, innovation settingsHospitals, clinics, service centers, maintenance facilities
Employer & Industry UsageResearch institutions, medical device companies, universitiesHospitals, healthcare facilities, medical equipment service providers

Biomedical Engineering R&D focuses on developing new medical devices and improving existing technologies through research and design. In contrast, Biomedical Equipment Technicians primarily maintain, repair, and calibrate medical equipment in clinical settings. While both roles require technical knowledge of medical devices, R&D emphasizes innovation and development, whereas technicians focus on operational functionality and troubleshooting.

What are the key skills and qualifications needed to thrive as a Biomedical Engineering R&D professional, and why are they important?

To thrive as a Biomedical Engineering R&D professional, you need a solid background in biomedical engineering principles, advanced problem-solving abilities, and typically at least a bachelor's or master's degree in biomedical engineering or a related field. Familiarity with CAD software, biomedical device prototyping tools, and regulatory standards such as FDA or ISO is commonly required. Strong collaboration, creativity, and effective communication skills help you work across multidisciplinary teams and convey complex ideas. These skills are crucial for developing innovative medical technologies that meet safety standards and improve patient outcomes.

How does a Biomedical Engineering R&D professional typically collaborate with cross-functional teams during the product development process?

In Biomedical Engineering R&D, professionals frequently work alongside multidisciplinary teams including clinicians, regulatory experts, and manufacturing engineers. Collaboration is essential from the initial concept phase through to prototyping and clinical trials, ensuring that medical devices or technologies meet both technical and regulatory requirements. Regular team meetings, design reviews, and iterative feedback loops are standard, helping to align engineering solutions with user needs and compliance standards. This collaborative approach not only enhances innovation but also streamlines the path to successful product development and commercialization.
What are popular job titles related to Biomedical Engineering R&D jobs in New York? For Biomedical Engineering R&D jobs in New York, the most frequently searched job titles are:
What job categories do people searching Biomedical Engineering R&D jobs in New York look for? The top searched job categories for Biomedical Engineering R&D jobs in New York are:
Biomedical Engineering R D jobs near you
Infographic showing various Biomedical Engineering R&D job openings in New York as of May 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 84% In-person, 4% Hybrid, and 12% Remote job distribution, with an average salary of $103,722 per year, or $49.9 per hour.

Data Scientist ::Onsite in NYC, NY (Onsite)

Talent Movers

New York, NY • On-site

Contractor

Posted 11 days ago

Job description

Title : Data Scientist

Location: Onsite in NYC, NY (Onsite)

Rate: ON C2C/W2

 

Top 3 must-have HARD skills:

Experience with hardware sensors and real-world data analysis
Direct experience working with biosensors or similar hardware, and analyzing the resulting data.
Signal processing expertise
Ability to process time domain signals and/or medical imaging systems, which is crucial for biosensor data.
Advanced programming and data manipulation
3+ years of hands-on experience with Python, R, MATLAB, or SQL for data extraction, manipulation, and visualization, including proficiency with scientific computing and analysis packages (NumPy, SciPy, Pandas, Scikit-learn, etc.).

Good to have skills:

Experience presenting findings from statistical and machine learning methods to diverse audiences.
Proficiency in data structures and algorithms.
Experience with data visualization libraries (Matplotlib, Pyplot, seaborn, ggplot2).
Experience working with large datasets.
Familiarity with scientific computing and analysis packages (dplyr, caret).
Advanced degree (Master’s or PhD) in computer science, statistics, neuroscience, biomedical engineering, or related field.

Job Description:

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.