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Part Time Biomedical Signal Processing Engineer Jobs in Virginia

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Part Time Biomedical Signal Processing Engineer information

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.

Is signal processing in demand?

Signal processing is in high demand in biomedical engineering, especially for developing medical devices, wearable health monitors, and diagnostic tools. Biomedical signal processing engineers with skills in algorithms, data analysis, and tools like MATLAB or Python are sought after due to the growing healthcare technology sector.

Can a biomedical engineer make 200k?

Biomedical Signal Processing Engineers can potentially earn $200,000 or more annually, especially with advanced skills, experience, and in high-demand environments such as medical device companies or research institutions. Salaries vary based on location, education, certifications, and the complexity of projects handled.

Is BME a stressful job?

Biomedical Signal Processing Engineers often work in environments that require attention to detail and problem-solving skills, which can be demanding but are generally manageable with proper time management. The job may involve tight deadlines and complex data analysis, but it typically offers a structured schedule and opportunities for collaboration, reducing overall stress levels.

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 engineering jobs pay $500,000?

High-level biomedical signal processing engineers with extensive experience, advanced degrees, and specialized skills in areas like machine learning or medical device development can reach annual salaries of $500,000 or more, especially in senior or leadership roles. Such compensation often includes bonuses, stock options, or profit sharing, typically found in large healthcare or technology companies. Achieving this level generally requires a combination of expertise, certifications, and a strong professional network.

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 are the most commonly searched types of Biomedical Signal Processing Engineer jobs in Virginia? The most popular types of Biomedical Signal Processing Engineer jobs in Virginia are:
X-Midas DSP Software Engineer

X-Midas DSP Software Engineer

Booz Allen Hamilton, Inc.

Chantilly, VA • On-site

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 28 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:
No
Job Number:
R0240194
Location:
Chantilly,VA,US
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Additional Locations:
  • Aurora, Colorado, USA

X-Midas DSP Software Engineer
The Opportunity:
As a Technical Signals Engineer, you specialize in developing software tools, techniques, systems, and procedures for Digital Signal Processing (DSP). You know that good DSP software is more than a nice-looking interface and data. You need the right combination of clean code, APIs, analytics, and infrastructure to help build a user-oriented solution. For DSP-centric software system, it's even harder -- you need to have a deep understanding of specialized frameworks such as X-Midas to ensure your software meets the mission need. We're looking for a DSP developers like you to develop efficient and effective signal processing systems, in an exciting, agile environment.
As a lead X-Midas DSP engineer at Booz Allen, you'll oversee a team as they use the latest architectural approaches, DSP packages and frameworks, and open-source resources to overcome your clients' most difficult challenges. You'll share your development expertise while you identify and implement system improvements. You'll lead a team as they code and deliver solutions that support the current architecture and operating environment, as well as guide future functionality and enhancements.
Work with us to develop systems that create change for the better.
Join us. The world can't wait.
You Have:
  • Experience with software development or engineering in DSP software frameworks such as X-Midas
  • Experience with legacy enterprise systems and working in a microservices or distributed application environment
  • Experience with a variety of DSP software applications and techniques such as signal detection, spectrum monitoring, or geolocation
  • Experience creating and testing modules and components for compliance with design specifications
  • Knowledge of source control such as GIT
  • Ability to work within a collaborative, cross-functional team operating with Agile methods
  • Top Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with Java, Python, C#, C, C++, etc.
  • Experience with Azure, AWS, or Google Cloud Platform
  • Ability to develop detailed program specifications and programs for software components
  • Knowledge of DevOps, continuous integration, and continuous deployment
  • Knowledge of shell scripting and automation
  • Knowledge of relational databases (RDMS), NoSQL, columnar, graph data stores and structured and unstructured data formats
  • Active TS/SCI clearance; willingness to take a polygraph exam

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.
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