Biomedical Jobs in Virginia
Biomedical jobs in Virginia are consistently in demand, concentrated in hospital systems, federal health agencies, and defense-adjacent medical device contractors, with openings at every level from entry-level biomedical equipment technician through senior biomedical engineer. The strongest hiring activity is in Northern Virginia, Richmond, and the Hampton Roads metro, where employers like Inova Health System, VCU Health, and Leidos maintain significant biomedical workforces. The most sought-after specialties in Virginia are medical device maintenance and repair, biomedical instrumentation, and clinical engineering. Find a role that fits below and apply directly.
Find Biomedical JobsOverview
Showing 4 of 24+ Biomedical jobs
Overview
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.
We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.
Position Summary
Credence has an immediate need for a Biomedical AI Lead to join our growing AI and Automation practice and to build and direct a portfolio of biomedical AI research. The position includes existing NIH-funded work, along with responsibility for identifying and pursuing new funding opportunities. Central to the role is establishing collaborations across academia, industry, and government to address high-impact research questions. On the technical side, you will lead teams of ML engineers and data scientists while contributing heavily to building and evaluating models yourself.
The work spans multimodal AI models that integrate diverse biomedical and clinical data (medical imaging, electronic health records, etc.), along with foundation models and LLMs applied to a range of scientific areas. The position offers the intellectual freedom of a research faculty appointment, along with a deep bench of engineering talent, a proposal team to support your efforts, and compensation that reflects your expertise. You will publish and present your work, partner with leading institutions, and shape your own research agenda.
Responsibilities include, but are not limited to the duties listed below
- Directing a portfolio of biomedical AI research.
- Identifying new funding opportunities, forming collaborations, and developing proposals.
- Generating preliminary data and proof-of-concept results to strengthen proposals and launch new research initiatives.
- Developing multimodal AI models that integrate diverse biomedical and clinical data, such as medical imaging and electronic health records. Performing hands-on model development, including data preparation, architecture design, training, and evaluation.
- Providing AI technical leadership on current and future projects, guiding technical approach and execution while managing and mentoring teams of ML engineers and data scientists.
- Publishing and presenting research in peer-reviewed journals and at scientific conferences, and contributing to white papers and technical reports.
- Communicating results to federal sponsors and partners.
- Tracking emerging methods and advances in AI and biomedical science.
Requirements
- Advanced Degree in Computer Science, AI/ML, Mathematics, Biomedical Engineering, or a related field. PhD strongly preferred, but MS will be considered for exceptional candidates.
- Proven track record of building collaborations, writing successful proposals, and leading funded projects.
- 3+ (PhD) or 7+ (MS) years of hands-on experience developing machine learning and deep learning (ML/DL) models for biomedical data, backed by a publication record or comparable outputs.
- Expertise in supervised and unsupervised methods and modern architectures such as transformers.
- Experience building multimodal models that integrate diverse biomedical data types such as imaging, EHR, wearables, and genetics.
- Experience fine-tuning and adapting foundation models and LLMs.
- Strong foundation in statistics and rigorous model evaluation, including validation study design and uncertainty quantification.
Salary Range: $180,000 - $220,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Wellness Resources
Overview
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.
We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.
Position Summary
Credence has an immediate need for a Biomedical AI Lead to join our growing AI and Automation practice and to build and direct a portfolio of biomedical AI research. The position includes existing NIH-funded work, along with responsibility for identifying and pursuing new funding opportunities. Central to the role is establishing collaborations across academia, industry, and government to address high-impact research questions. On the technical side, you will lead teams of ML engineers and data scientists while contributing heavily to building and evaluating models yourself.
The work spans multimodal AI models that integrate diverse biomedical and clinical data (medical imaging, electronic health records, etc.), along with foundation models and LLMs applied to a range of scientific areas. The position offers the intellectual freedom of a research faculty appointment, along with a deep bench of engineering talent, a proposal team to support your efforts, and compensation that reflects your expertise. You will publish and present your work, partner with leading institutions, and shape your own research agenda.
Responsibilities include, but are not limited to the duties listed below
- Directing a portfolio of biomedical AI research.
- Identifying new funding opportunities, forming collaborations, and developing proposals.
- Generating preliminary data and proof-of-concept results to strengthen proposals and launch new research initiatives.
- Developing multimodal AI models that integrate diverse biomedical and clinical data, such as medical imaging and electronic health records. Performing hands-on model development, including data preparation, architecture design, training, and evaluation.
- Providing AI technical leadership on current and future projects, guiding technical approach and execution while managing and mentoring teams of ML engineers and data scientists.
- Publishing and presenting research in peer-reviewed journals and at scientific conferences, and contributing to white papers and technical reports.
- Communicating results to federal sponsors and partners.
- Tracking emerging methods and advances in AI and biomedical science.
Requirements
- Advanced Degree in Computer Science, AI/ML, Mathematics, Biomedical Engineering, or a related field. PhD strongly preferred, but MS will be considered for exceptional candidates.
- Proven track record of building collaborations, writing successful proposals, and leading funded projects.
- 3+ (PhD) or 7+ (MS) years of hands-on experience developing machine learning and deep learning (ML/DL) models for biomedical data, backed by a publication record or comparable outputs.
- Expertise in supervised and unsupervised methods and modern architectures such as transformers.
- Experience building multimodal models that integrate diverse biomedical data types such as imaging, EHR, wearables, and genetics.
- Experience fine-tuning and adapting foundation models and LLMs.
- Strong foundation in statistics and rigorous model evaluation, including validation study design and uncertainty quantification.
Salary Range: $180,000 - $220,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Wellness Resources
See All 24 Biomedical Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Biomedical JobsBiomedical Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Biomedical Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
What Virginia Employers Look For
The qualifications that appear most often in biomedical jobs across Virginia.
- Associate or bachelor's degree in biomedical technology, engineering, or a closely related field
- Certified Biomedical Equipment Technician (CBET) credential from AAMI preferred or required
- Hands-on experience servicing and maintaining clinical and diagnostic equipment
- Familiarity with Joint Commission and CMS compliance standards for medical equipment
- Ability to read and interpret technical schematics, service manuals, and wiring diagrams
- Strong documentation skills and experience using computerized maintenance management systems
Biomedical Jobs in Virginia: Frequently Asked Questions
How do you become a biomedical in Virginia?
Virginia does not issue a state-specific license for biomedical equipment technicians, so entry depends on education and nationally recognized credentials. Most employers require at minimum an associate degree in biomedical technology or electronics, and the Certified Biomedical Equipment Technician credential issued by AAMI is the standard professional benchmark. Candidates who complete accredited programs at institutions like Northern Virginia Community College or J. Sargeant Reynolds Community College and sit for the CBET exam are consistently competitive in the Virginia market.
How much do biomedicals make in Virginia?
Biomedicals in Virginia earn a median of about $106,140 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $68,890 for the lowest 10% to over $200,800 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire biomedicals in Virginia?
Employers hiring biomedicals in Virginia right now include MultiMedical Systems, Virginia Commonwealth University, and Trimedx, based on current listings on Migrate Mate as of November 2026. Virginia's mix of large hospital systems, federal health contractors, and defense-aligned medical device firms means openings are distributed across both clinical settings and government-adjacent environments throughout the state.
Which Virginia cities have the most biomedical jobs?
The Virginia cities with the most biomedical openings are Virginia, Fairfax, and Richmond. Northern Virginia's concentration of federal health agencies and defense contractors drives a large share of the technical and engineering-focused roles, while Richmond's major academic medical centers and Hampton Roads' military medical facilities account for most of the clinical equipment technician positions.
Are there remote biomedical jobs in Virginia?
Yes, but they're rare. The core of biomedical work involves hands-on equipment servicing, calibration, and on-site clinical support, which cannot be performed remotely. About 0% of biomedical openings tied to Virginia are remote or hybrid as of November 2026, and those positions tend to be in biomedical sales engineering, regulatory affairs, or technical documentation roles rather than direct equipment maintenance.
How can I get hired as a biomedical in Virginia with little or no experience?
The most realistic entry path is completing an associate degree in biomedical equipment technology and applying directly to the biomed departments of Virginia hospital systems, which regularly bring on graduates for entry-level technician roles. Inova Health System and VCU Health both run structured onboarding tracks for new technicians. Candidates with backgrounds in electronics, HVAC controls, or military medical equipment repair often move laterally into biomedical roles, and holding or actively pursuing the CBET credential strengthens any application significantly.
Where can I find and apply to biomedical jobs in Virginia?
You can find and apply to biomedical jobs in Virginia on Migrate Mate, which lists current Virginia openings from employers actively hiring now. Search the available roles, find the ones that match your experience and location, and apply directly to each position without any intermediate steps.
See All 24 Biomedical Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Biomedical Jobs