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Part Time Biomedical Signal Processing Engineer Jobs

New York University

Researcher (Part-time)

New York, NY · On-site

$26.37/hr

Description Part time Research Scholar Biomedical Engineering New York University Faculty in the ... signal processing, estimation, control and optimization for biomedical engineering applications.

Varsity Tutors

Biomedical Engineering Tutor

MI · Remote

$18 - $40/hr

Ability to explain signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering ...

Varsity Tutors

Biomedical Engineering Tutor

Rexburg, ID · Remote

$18 - $40/hr

Ability to explain signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering ...

Varsity Tutors

Biomedical Engineering Tutor

NC · Remote

$18 - $40/hr

Ability to explain signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering ...

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All JobsBiomedical Signal Processing Engineer JobsPart Time Biomedical Signal Processing Engineer Jobs

Part Time Biomedical Signal Processing Engineer information

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$53.5K

$131.3K

$193.5K

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

As of Aug 5, 2026, the average yearly pay for part time biomedical signal processing engineer in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What does a part time biomedical signal processing engineer do?

A Part Time Biomedical Signal Processing Engineer analyzes and interprets data from biological signals, such as ECG, EEG, or EMG, to support medical research or healthcare applications. They develop algorithms and use specialized software to filter, process, and extract meaningful information from complex biosignals. Working part time, they may assist in research projects, product development, or clinical studies, depending on the employer's needs. Their work helps improve diagnostic tools, medical devices, and patient care by making sense of physiological data.

What is the difference between Part Time Biomedical Signal Processing Engineer vs Part Time Medical Data Analyst?

AspectPart Time Biomedical Signal Processing EngineerPart Time Medical Data Analyst
Required CredentialsBachelor's or Master's in Biomedical Engineering, Signal Processing, or related fieldsBachelor's or Master's in Health Informatics, Data Science, or related fields
Work EnvironmentHospitals, research labs, medical device companiesHealthcare facilities, research institutions, health tech companies
Employer & Industry UsageMedical device development, biomedical research, healthcare technologyHealthcare analytics, clinical research, health data management

While both roles involve working with health-related data, the Biomedical Signal Processing Engineer focuses on analyzing and developing algorithms for biomedical signals like ECG or EEG, often in device or research settings. The Medical Data Analyst interprets broader health data sets to inform clinical decisions and improve patient outcomes. The roles share similar credentials but differ in their specific focus and application within the healthcare industry.

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

To thrive as a Part Time Biomedical Signal Processing Engineer, you need a solid background in biomedical engineering, signal processing, and proficiency with programming languages like MATLAB or Python, often supported by at least a bachelor's degree in a related field. Familiarity with tools such as LabVIEW, biomedical instrumentation, and experience analyzing physiological signals (e.g., ECG, EEG), as well as any certifications in medical device standards, are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating with interdisciplinary teams and interpreting data. These competencies ensure accurate analysis, reliable results, and successful integration of biomedical technologies into healthcare solutions.

What are the typical challenges faced by part time biomedical signal processing engineers, and how can they manage project timelines effectively?

Part-time Biomedical Signal Processing Engineers often navigate the challenge of balancing complex, data-driven projects with limited working hours. Managing time effectively is crucial, especially when collaborating with multidisciplinary teams and meeting project milestones. Clear communication with supervisors, setting realistic goals, and using project management tools can help ensure that work progresses smoothly. Additionally, staying organized with thorough documentation and proactively scheduling meetings can optimize productivity and facilitate seamless handovers with full-time colleagues.
What cities are hiring for Part Time Biomedical Signal Processing Engineer jobs? Cities with the most Part Time Biomedical Signal Processing Engineer job openings:
What are the most commonly searched types of Biomedical Signal Processing Engineer jobs? The most popular types of Biomedical Signal Processing Engineer jobs are:
What states have the most Part Time Biomedical Signal Processing Engineer jobs? States with the most job openings for Part Time Biomedical Signal Processing Engineer jobs include:
Part Time Biomedical Signal Processing Engineer jobs near you

Senior Underwater Acoustics Physicist / Digital Signal Processing Engineer - Part Time - 26-028

Ausgar Technologies, Inc

San Diego, CA • On-site

Full-time, Part-time

Posted 13 days ago

Job description

JOB TYPE: FULL-TIME
MUST POSSESS A SECRET SECURITY CLEARANCE (PREFERRED) OR THE ABILITY TO OBTAIN ONE.
WE USE E-VERIFY TO ELECTRONICALLY CONFIRM THE EMPLOYMENT ELIGIBILITY OF NEWLY HIRED EMPLOYEES.
COMPETITIVE SALARY, COMPREHENSIVE BENEFITS AND A COMPANY THAT CARES!
AUSGAR Technologies, Inc., an equal opportunity employer, is an established, Service-Disabled Veteran-Owned Small Business (SDVOSB) Department of Defense, government contractor with core competencies in Information Assurance, Cybersecurity and Systems Engineering. With offices on both the East and West coasts, an inviting culture and above-standard benefits, opportunity abounds for the right individual!
Senior Underwater Acoustics Physicist / Digital Signal Processing Engineer - 26-028 - San Diego, CA
As a growing Department of Defense Contractor, AUSGAR Technologies has an exciting opportunity for a Senior Underwater Acoustics Physicist / Digital Signal Processing Engineer to join our team of smart and innovative technical team members in the Point Loma area of San Diego.
We are seeking a highly experienced Senior Underwater Acoustics Physicist/Digital Signal Processing Engineer to support advanced underwater acoustic research, sonar system development and performance analysis for defense and naval applications. The ideal candidate will have extensive experience in signal processing, acoustic propagation modeling, statistical analysis, algorithm development and software engineering. This position requires expertise in analyzing complex acoustic datasets, developing innovative signal processing techniques, and supporting the design, evaluation, and optimization of underwater sensing systems.
  • Develop, implement and optimize advanced digital signal processing algorithms for underwater acoustic and SONAR applications.
  • Analyze and interpret large volumes of underwater acoustic data to characterize system performance and evaluate detection capabilities.
  • Design, implement and enhance conventional and adaptive beamforming algorithms for two-dimensional and three-dimensional array processing.
  • Develop and maintain DIFAR processing algorithms, visualization tools and associated analysis techniques.
  • Perform SONAR equation performance predictions and assess system effectiveness against specified target signals and operational scenarios.
  • Conduct acoustic propagation modeling using Bellhop and other propagation models to evaluate environmental effects on system performance.
  • Develop software applications and automated tools for acoustic data processing, visualization and analysis.
  • Design and execute Monte Carlo simulations to evaluate localization accuracy, detection probability and overall sensor performance.
  • Develop statistical models utilizing Gaussian, Rayleigh, Binomial and related probability distributions to support system performance assessments.
  • Design and implement automated detection algorithms for tonal, transient and broadband acoustic signals.
  • Develop simulation environments capable of generating realistic underwater acoustic scenarios, including environmental noise, multipath propagation and sensor array responses.
  • Perform filtering, frequency translation, decimation, correlation and spectral analysis of acoustic signals.
  • Support machine learning initiatives by evaluating regression and clustering techniques for acoustic data analysis and sensor optimization.
  • Document technical methodologies, software and analytical approaches while providing technical guidance and mentoring to engineering teams.
  • Collaborate with multidisciplinary teams to develop innovative solutions for complex underwater sensing and signal processing challenges.

Requirements
Required Qualifications:??
  • Possess a Secret security clearance (preferred) or the ability to obtain one.
  • Bachelor's degree in Physics, Electrical Engineering, Applied Mathematics, Computer Engineering or a related technical discipline from an accredited college or university.
  • 10+ years of experience in underwater acoustics, digital signal processing or sonar system development (20+ years preferred).
  • Strong understanding of underwater acoustic propagation, array processing and sonar performance analysis.
  • Experience developing signal processing algorithms using C and Python.
  • Experience with beamforming, DIFAR processing and acoustic array processing techniques.
  • Knowledge of SONAR equation analysis and performance prediction methodologies.
  • Experience with Bellhop or similar underwater acoustic propagation models.
  • Experience developing simulation and modeling tools using Monte Carlo techniques.
  • Strong statistical analysis skills with experience applying probability distributions to engineering problems.
  • Ability to analyze large datasets and present technical findings clearly. Excellent problem-solving, analytical and technical communication skills.

Preferred Qualifications:
  • Experience supporting U.S. Navy or Department of Defense underwater acoustic programs.
  • Experience with machine learning techniques for acoustic signal analysis.
  • Experience developing acoustic visualization and analysis software.
  • Knowledge of localization techniques including Time Difference of Arrival (TDOA).
  • Experience with acoustic array simulation and environmental modeling.
  • Familiarity with adaptive beamforming, detection theory and sensor performance optimization.

Salary Range: $150K-$165K
Based on your qualifications, you will be placed in Level I-V.
An essential qualification for this position is successfully obtaining a security clearance issued by the Federal Government, which may require successful completion of a background check.
We use E-Verify to electronically confirm the employment eligibility of newly hired employees.
AUSGAR's salary range is dependent upon a variety of factors, which include experience, skills, education, certifications and geographical location. Our salary range includes a base salary and excellent benefits package as part of our total compensation.
AUSGAR Technologies, Inc. is an equal opportunity employer. If you are a qualified individual with a disability or a disabled veteran
and need assistance in completing the application, you have the right to request reasonable accommodation. Please e-mail us at jobs@ausgar.com if you are unable or limited in your ability to use or access www.ausgar.com careers page as a result of your disability.

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