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Biomedical Data Engineer Jobs in Raleigh, NC (NOW HIRING)

We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ... Data Analysis: Process and interpret RF datasets for signal detection, classification, tracking ...

Senior Mechanical Engineer

Apex, NC · On-site

$80K - $105K/yr

... compliant data storage and handling Coordinate prototyping recipes and practices between ... S. in Mechanical or Biomedical Engineering or a related field Eight or more years industry ...

Senior Firmware Engineer

Durham, NC · On-site

$115K - $152K/yr

Responsibilities: - Implement algorithms for biomedical instrumentation. - Create design ... data analysis. - Experience with version control software (Git, SVN, etc.). - Strong verbal and ...

... engineering to computational immunology as part of the NIH/NIAID-funded Multiscale Immune System ... Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science ...

... engineering to computational immunology as part of the NIH/NIAID-funded Multiscale Immune System ... Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science ...

Drive data analysis and reporting of quality metrics, trends, and performance indicators ... Bachelor's degree in Engineering (Mechanical, Industrial, Biomedical, or related field) preferred ...

Drive data analysis and reporting of quality metrics, trends, and performance indicators ... Bachelor's degree in Engineering (Mechanical, Industrial, Biomedical, or related field) preferred ...

Drive data analysis and reporting of quality metrics, trends, and performance indicators ... Bachelor's degree in Engineering (Mechanical, Industrial, Biomedical, or related field) preferred ...

Drive data analysis and reporting of quality metrics, trends, and performance indicators ... Bachelor's degree in Engineering (Mechanical, Industrial, Biomedical, or related field) preferred ...

Strong programming skills. * Experience with machine learning frameworks such as PyTorch or ... data science, and AI-driven biomedical research. Our faculty collaborate widely across Duke ...

Strong programming skills. * Experience with machine learning frameworks such as PyTorch or ... data science, and AI-driven biomedical research. Our faculty collaborate widely across Duke ...

Showing results 41-60

Biomedical Data Engineer information

See Raleigh, NC salary details

$15

$61

$85

How much do biomedical data engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for biomedical data engineer in Raleigh, NC is $61.22, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $68.94 per hour, depending on experience, location, and employer.

What is a biomedical data engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

What are the key skills and qualifications needed to thrive as a biomedical data engineer, and why are they important?

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by biomedical data engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

What is the difference between Biomedical Data Engineer vs Biomedical Data Analyst?

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

What are popular job titles related to Biomedical Data Engineer jobs in Raleigh, NC?

For Biomedical Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Engineer jobs in Raleigh, NC look for?

The top searched job categories for Biomedical Data Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Biomedical Data Engineer jobs?

Cities near Raleigh, NC with the most Biomedical Data Engineer job openings:

Infographic showing various Biomedical Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,343 per year, or $61.2 per hour.

Signal Processing Engineer

CoVar

Bahama, NC • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Job Description
Job Description

Signal Processing Engineer

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop signal processing algorithms and software to solve real-world customer problems. You will develop novel and advanced algorithms for sense making and sensor decision making for applications in the RF domain to include detection, localization, classification, tracking and EW. You will design and implement simulations for these RF applications as well as evaluate results on real world data. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Key Responsibilities

  • Algorithm Development: Design, implement, and optimize signal and array processing algorithms for RF applications, detection, localization, tracking, channel estimation, beamforming, and spectral analysis.
  • Data Analysis: Process and interpret RF datasets for signal detection, classification, tracking, parameter estimation, and pattern recognition.
  • Prototyping & Testing: Develop simulation models (e.g., Python, MATLAB) and implement algorithms on real-time platforms such as FPGAs, GPUs, or SDRs (Software-Defined Radios).
  • RF System Integration: Collaborate with hardware engineers to integrate digital signal processing (DSP) algorithms into RF systems and ensure optimal end-to-end performance.
  • Performance Evaluation: Conduct laboratory and field testing to validate system performance under various operational conditions.
  • Research & Innovation: Stay up to date with emerging RF technologies, advanced signal processing techniques, and industry best practices.
  • Documentation: Prepare technical reports and presentations for internal and external stakeholders.

Minimum qualifications

  • B.S., M.S., or Ph.D in Electrical Engineering, Computer Engineering, Applied Physics, Applied Mathematics, or a related field.
  • 3+ years of experience in RF signal processing or a related discipline.
  • Strong proficiency in one or more of the following programming languages: Python, C/C++, or MATLAB.
  • Experience in the following areas:
    • RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation
  • Ability to work with cross-functional engineering teams and clearly communicate complex technical concepts.
  • Ability to work in Durham, NC (relocation assistance available)
  • Eligibility for US security clearance

Preferred qualifications

  • Experience with:
    • Radar signal processing in Department of Defense (DoD) specific applications including electronic warfare (EW) techniques such as electronic support measures, attack, protection, and cognitive EW.
    • AI/ML algorithm design in the areas of computer vision, reinforcement learning (RL), and natural language processing.
    • Spectrum monitoring and signal classification using machine learning techniques.
    • Translating the mission needs of DoD customers into an end-to-end technical solution.
    • Proposal development and proposal writing.
  • Familiarity with FPGA or GPU acceleration for high-performance DSP.
  • Proficiency in C/C++ for embedded or real-time applications.
  • Active U.S. security clearance.

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Parental leave
  • Short-term and long-term disability insurance
  • Life insurance
  • Flexible work schedule
  • Tuition support
  • PTO and paid holidays

Visit us: www.covar.com