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Part Time Biomedical Signal Processing Engineer Jobs in Virginia

Astrion

Senior Radar Systems Engineer

Dahlgren, VA · On-site

$100 - $110/hr

Dahlgren, VA STATUS: Part Time (20-30 Hours per Week) CLEARANCE: Secret SALARY: $100-110 hourly ... Demonstrated knowledge of signal processing and Electronic Protection (a.k.a. Counter-Counter ...

Booz Allen Hamilton, Inc.

$61K - $141K/yr

Experience with digital signal processing * Experience in all aspects of laboratory and field ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

$61K - $141K/yr

Experience with digital signal processing * Experience in all aspects of laboratory and field ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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

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.

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 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 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:

Part Time Biomedical Signal Processing Engineer jobs near you

Senior Radar Systems Engineer

Dahlgren, VA • On-site

Astrion
5 - 10K employees
Learn more about Astrionexternal

$100 - $110/hr

Full-time, Part-time

Re-posted 28 days ago

Job description

Overview
Senior Radar Systems Engineer (Part Time)
LOCATION: Dahlgren, VA
STATUS: Part Time (20-30 Hours per Week)
CLEARANCE: Secret
SALARY: $100-110 hourly
TRAVEL: >10%
Astrion has an immediate opening for a Senior Radar Systems Engineer supporting the Naval Surface Warfare Center and Program Executive Office Integrated Warfare Organization Above Water Sensors located in Dahlgren, VA.
REQUIRED QUALIFICATIONS / SKILLS
  • A Bachelor's degree from an a school of engineering with at least one curriculum accredited by the Accreditation Board for Engineering and Technology (ABET) as a professional engineering curriculum in one of the following fields: Mechanical Engineering, Electrical Engineering, Computer Engineer, Electronics Engineering; or A Bachelor's degree from an accredited college or university in one of the following fields of study: Mathematics, Computer Science, or Physics
  • Ten (10) System Engineering experience with Surface Navy Radar and Combat Systems
  • DOD5000 System Engineering Technical Review experience and specifically the NAVSEA Technical Review Manual
  • NAVSEA Element and Combat System Certification Experience
  • Experience with integration of radar into the Surface Navy Fire Control Loop
  • Land-based and Ship-board test experience
  • Radar Modeling and Simulation
  • System Requirements decomposition
  • Demonstrated experience in one or more of the following specific knowledge areas (as stated in the technical instruction):
    • Radio frequency hardware design and/or fabrication
    • Demonstrated knowledge of antenna engineering
    • Demonstrated knowledge of signal processing and Electronic Protection (a.k.a. Counter-Counter Measures)
  • Demonstrated experience and ability to perform detailed and complex calculations and knowledge of practices/principles necessary to assess advanced radar systems concepts, assess specifications and perform system integration
  • Program/project level engineering experience in major sensor systems
  • Solid technical background as demonstrated by certifiable experience formulating opinions, decisions and ultimate performance of the tasks specified in a contract statement of work
  • Demonstrated capability in packaging and communicating data products for effective communication (i.e. putting together information suitable for a Senior Executive Service/Flag-level Briefing)

PREFERRED QUALIFICATIONS / SKILLS
  • 15 to 20 years System Engineering experience with Surface Navy Radar and Combat Systems
  • 5 years of experience with both Aegis combat system and Ship Self Defense System

RESPONSIBILITIES
  • Primary support will to the AN/SPY-6 radar program with focus on System Engineering Technical Reviews; integration with both Aegis and SSDS (Ship Self Defense System) Combat Systems; Land-based and Ship-board developmental and operational testing, evaluation and analysis; and radar system Certification.
  • Additional tasking may include new capability concept development and requirement definition, traceability and decomposition for the Aegis AN/SPY-1 radar and Future X-Band Radar.
  • Tasking will include review of contractor and government documentation and presentations as well as the development and presentation of radar and combat system integration concepts, plans, and analysis results.

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