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Part Time Biomedical Signal Processing Engineer Jobs

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

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

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

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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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 Jun 4, 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 are the key skills and qualifications needed to thrive as a Part Time Biomedical Signal Processing Engineer, and why are they important?

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 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 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:
Digital Signal Processing Electrical & Computer Engineer

Digital Signal Processing Electrical & Computer Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site

$86.80K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 9 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Description
Remote Work:
Hybrid
Job Number:
R0240892
Location:
McLean,VA,US
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Additional Locations:
  • Belcamp, Maryland, USA
  • Laurel, Maryland, USA

Digital Signal Processing Electrical & Computer Engineer
The Opportunity:
What if you could use your electrical and computer engineering skills to develop next-generation electromagnetic spectrum and electronic warfare capabilities as part of a focused, forward-looking R&D organization? As a Digital Signal Processing (DSP) engineer, you understand the power behind complex systems and complex data in the RF and signals domain. That knowledge is key when it comes to designing and implementing digital signal processing for RF sensing, detecting, and responding systems. We're looking for a computer engineer with DSP experience who can use their skills to develop and demonstrate new and novel capabilities to guide the Army toward new technical solutions. Our areas of interest include signal receive and blind demodulation techniques, signal isolation and identification, waveform, complex signal generation, and adaptive techniques.
Our team develops initial implementations of emerging ideas to address Electromagnetic Spectrum Battle Management. That's why we need you, a computer engineer with a solid background in signal processing, to help us implement radio communication capabilities. You'll work in a lab environment to develop functionality for demonstration and delivery to our client. You'll directly impact the future of electromagnetic spectrum and electronic warfare by demonstrating state-of-the-art techniques to guide the client's understanding of what is possible. This is a chance to use your DSP engineering skills and understanding of RF communications while gaining experience with software defined radios (SDRs). Join us and take on exciting challenges in support of our DoD clients as we drive R&D and help define future capabilities.
Join us. The world can't wait.
You Have:
  • Experience with wireless communications systems and signal processing theory and application
  • Experience with Linux, C, C++, or Rust
  • Experience with Software Defined Radio (SDR) toolkits and standards such as GNUradio and Ettus UHD
  • Experience with Signal Processing Techniques and RF Theory
  • Experience with embedded software development, code optimization, and multi-threading
  • Knowledge of DSP and DSP algorithm development
  • Ability to travel regionally up to 25% of the time
  • Ability to obtain a Secret clearance
  • Bachelor's degree in Electrical or Computer Engineering

Nice If You Have:
  • Experience with Machine Learning techniques, implementation, and signal classification
  • Experience with ARM Microprocessors
  • Experience with RF equipment and testbeds, spectrum analyzers, and signal generators
  • Experience with signal, waveform, and technique development tools such as MATLAB or LabView
  • Experience with Git and the Agile Software Development process
  • Experience with FPGAs and VHDL or Verilog
  • Top Secret clearance

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914