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Biomedical Data Engineer Jobs in Virginia (NOW HIRING)

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

D. in computer science, data science, biomedical engineering, physics, or a closely related field. PhD must be awarded no more than four years prior to the effective date of appointment with a ...

US Department of the Air Force

$90K/yr

A bachelor degree in biomedical engineering, logistics, or related discipline with at least four ... and analyze data to determine logistic objectives/goals and identify support requirements.

Virginia Tech

Research Assistant

Blacksburg, VA

$17 - $23.25/hr

Fralin Biomedical Res. Institute Location: Roanoke, Virginia Categories: Research / Scientific The ... Programming skills, accurate record-keeping, and experience with data collection are required, as ...

Draper

Senior Embedded Vulnerability Researcher

Reston, VA · On-site

$82K - $205K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... Experience with JTAG/SWD/BDM, and eMMC/NAND/SPI flash data extraction * Exploitation techniques for ...

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Biomedical Data Engineer information

Can a biomedical engineer become a data scientist?

A biomedical engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or certifications. Their background in healthcare data and analytical thinking can be advantageous in transitioning to data science roles within biomedical or healthcare industries.

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.

How much do biomedical data scientists make in the US?

Biomedical data scientists in the US typically earn between $80,000 and $130,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced skills in data analysis, machine learning, and programming can earn higher salaries.

Can a biomedical engineer make 200k?

Biomedical data engineers can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in data analysis and programming, and work in high-demand sectors like medical device companies or research institutions. However, salaries vary based on location, education, certifications, and the complexity of projects handled.

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 engineers make $500,000?

Senior biomedical data engineers with extensive experience, advanced skills in data analysis, machine learning, and familiarity with healthcare data systems can reach salaries of $500,000 or more, especially in high-cost regions or with leadership roles. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

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 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 Virginia? For Biomedical Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Engineer jobs in Virginia look for? The top searched job categories for Biomedical Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Biomedical Data Engineer jobs? Cities in Virginia with the most Biomedical Data Engineer job openings:
Biomedical Data Engineer jobs near you
Infographic showing various Biomedical Data Engineer job openings in Virginia as of June 2026, with employment types broken down into 9% Internship, and 91% Full Time. Highlights an 100% In-person job distribution.
Scientific Computing and Data Management SME with Security Clearance

Scientific Computing and Data Management SME with Security Clearance

ECS

Hampton, VA • On-site

Other

Posted 13 days ago

Job description

Job Description ECS is seeking an experienced Scientific Computing and Data Management SME to work remotely providing scientific computing support for the work performed under this contract for NIH NIAID Enabling and Advancing Technologies (NEAT) . This engagement supports the Scientific Computing Services program area which includes Program Management, Scientific Instrumentation Support, and High Performance Computing. Please Note: This position is contingent upon [contract win].

The NIAID NEAT Scientific Computing and Data Management SME will provide technical knowledge and analysis of highly specialized applications, scientific instrumentation, high-level functional systems analysis, design, integration, documentation and implementation advice on moderately complex problems for HPC environments. Key Responsibilities: * Support Linux-based HPC environments, infrastructure troubleshooting, scientific application support, workload scheduling support, and operational sustainment activities for research computing services. * Support day-to-day user engagement and service optimization activities.

* Support high-throughput scientific data movement, parallel storage optimization, data lifecycle coordination, and secure research data handling across hybrid compute environments. * Provide technical knowledge and analysis of highly specialized applications, scientific instrumentation, high-level functional systems analysis, design, integration, documentation and implementation advice on moderately complex problems for HPC environments. * Apply principles, methods and knowledge of the functional area of capability to specific task order requirements, advanced mathematical principles and methods to exceptionally difficult and narrowly defined technical problems in engineering and other scientific applications to arrive at automated solutions.

* Assist other senior consultants with analysis and evaluation and with the preparation of recommendations for system improvements, optimization, development, and/or maintenance efforts in the following specialties: information systems architecture, networking; telecommunications, automation; communications protocols, risk management/electronic analysis, software; lifecycle management, software development methodologies, and modeling and simulation. Required Skills * Bachelor's degree in Computer Science, Information Security or related field. * Active Public Trust or higher security clearance.

* Minimum 8 years experience supporting IT infrastructure, systems, and applications, including HPC environments, support teams, and ensuring quality of service operations. * Experience with scientific instrumentation and HPC and knowledge of working in a scientific research organization, with an emphasis on biomedical research. * Experience supporting commercial scientific instrumentation, and the integration of this instrumentation in a federal government IT environment.

* Experience supporting systems based on Windows, MacOS, and Linux, including both GUI and command-line operations and troubleshooting, and scripting in these environments. * Have documented experience with FISMA and system authorization processes. * Practical experience with industry best practices as articulated by, but not limited to, the Project Management Institute (PMI), Lean IT, Agile practices, DevOps and ITIL, as appropriate.

* Reside within the Washington DC Metro area * Travel within the Washington DC Metro Area, and CONUS as needed. Desired Skills * Ability to lead, mentor, and guide engineering teams to ensure adherence to best practices. * Relevant Certifications (e.g.

Certified Information System Security Professional (CISSP), Global Information Assurance Certification (GIAC), Certified Enterprise Defender (GCED), GIAC Certified Incident Handler (GCIH), Certified Network Defender (CND), Systems Security Certified Practitioner (SSCP), etc.) * Familiar with HHS Enterprise Life Cycle (ELPC) methodology. ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. 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, or local jurisdiction law.

is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people.

We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven

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