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Entry Level Biomedical Clinical Engineer Jobs in Washington, DC

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... Biomedical Engineer specializing in artificial intelligence, machine learning, and MRI image ... The role will work closely with engineers, MRI physicists, researchers, clinicians, and ...

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Clinical Research Coordinator

Bethesda, MD

$26 - $34.50/hr

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Clinical Research Coordinator to join our vibrant team at the National Institutes ...

Clinical Research Coordinator

Bethesda, MD · On-site

$26 - $34.50/hr

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Clinical Research Coordinator to join our vibrant team at the National Institutes ...

Maintain Clinical Engineering expertise through ongoing training and education * Assist with ... biomedical related certification program. * Frequently required to reach, pull, and/or employ fine ...

Maintain Clinical Engineering expertise through ongoing training and education * Assist with ... biomedical related certification program. * Frequently required to reach, pull, and/or employ fine ...

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Entry Level Biomedical Clinical Engineer information

See Washington, DC salary details

$46.4K

$107.4K

$158.6K

How much do entry level biomedical clinical engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for entry level biomedical clinical engineer in Washington, DC is $107,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $131,400.00 per year, depending on experience, location, and employer.

What does an entry level biomedical clinical engineer do?

An Entry Level Biomedical Clinical Engineer is responsible for installing, maintaining, and repairing medical equipment in healthcare settings. They work closely with medical staff to ensure that devices like ventilators, monitors, and imaging equipment function safely and effectively. Other duties may include performing safety checks, troubleshooting technical problems, and assisting with equipment upgrades or replacements. This role is crucial for ensuring optimal patient care and compliance with regulatory standards.

What are some typical projects or responsibilities for an entry level biomedical clinical engineer during their first year?

As an entry level biomedical clinical engineer, you can expect to be involved in maintaining and troubleshooting medical equipment, conducting preventive maintenance, and supporting equipment inventory management. You'll likely work closely with clinical staff to ensure equipment is safe and operational, assist with equipment installations, and document compliance with regulatory standards. Early in your role, you'll also have opportunities to shadow senior engineers, participate in training sessions, and gradually take on more complex technical tasks as you build experience.

What are the key skills and qualifications needed to thrive as an entry level biomedical clinical engineer, and why are they important?

To thrive as an Entry Level Biomedical Clinical Engineer, you need a solid background in biomedical engineering or a related field, with knowledge of anatomy, physiology, and medical device regulations. Familiarity with diagnostic and therapeutic equipment, equipment management software, and relevant safety certifications such as CBET is often expected. Strong analytical thinking, effective communication, and problem-solving abilities set candidates apart when interacting with medical staff and troubleshooting equipment issues. These skills ensure safe, efficient, and compliant operation of medical devices, directly impacting patient care quality.

What is the difference between Entry Level Biomedical Clinical Engineer vs Biomedical Equipment Technician?

AspectEntry Level Biomedical Clinical EngineerBiomedical Equipment Technician
CredentialsBachelor's degree in biomedical engineering or related field; certifications like CBET (Certified Biomedical Equipment Technician) are commonAssociate's degree or technical certification; CBET certification often preferred
Work EnvironmentHospitals, clinics, healthcare facilities; involved in equipment management, troubleshooting, and clinical supportMedical equipment repair and maintenance in hospitals, clinics, or service centers
Employer & Industry UsageHealthcare providers, medical device companies, biomedical service firmsHospitals, medical device manufacturers, biomedical service companies

While both roles involve working with medical equipment, Entry Level Biomedical Clinical Engineers focus on clinical support, troubleshooting, and equipment management with a biomedical engineering background. Biomedical Equipment Technicians primarily handle repair and maintenance tasks, often with technical certifications. Both roles are essential in healthcare settings but differ in scope and responsibilities.

What are popular job titles related to Entry Level Biomedical Clinical Engineer jobs in Washington, DC?

For Entry Level Biomedical Clinical Engineer jobs in Washington, DC, the most frequently searched job titles are:

Infographic showing various Entry Level Biomedical Clinical Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $107,378 per year, or $51.6 per hour.

Biomedical Engineer (AI/ML & MRI Software)

Bethesda, MD • On-site

$40 - $70/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

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Job description

Contemporaries is a government contracting firm supporting the National Institutes of Health (NIH) in its efforts to hire a Biomedical Engineer specializing in artificial intelligence, machine learning, and MRI image processing.

This position will support the development of advanced software and AI solutions for pediatric MRI research. The ideal candidate will have hands-on experience with machine learning/deep learning, medical image processing, MRI reconstruction or enhancement, and scientific software development. The role will work closely with engineers, MRI physicists, researchers, clinicians, and biostatisticians to develop reliable tools that improve MRI image quality and enable quantitative analysis.


Key Responsibilities

  • Design and develop AI-based MRI image reconstruction, denoising, artifact-reduction, and image-enhancement pipelines, particularly for low-field MRI.
  • Develop and train machine learning and deep-learning models for MRI reconstruction, image enhancement, segmentation, and quantitative analysis.
  • Build software capable of extracting measurements such as fat, lean mass, and fluid measurements from MRI images.
  • Develop software infrastructure for automated tissue segmentation and compositional quantification.
  • Build and maintain reproducible ML pipelines, including version control, experiment tracking, testing, validation, and documentation.
  • Develop data-management workflows for pediatric imaging datasets while supporting appropriate data privacy and security requirements.
  • Optimize models and software for deployment within available research or point-of-care computing environments.
  • Validate AI/software performance against reference standards and established imaging methods.
  • Collaborate with MRI physicists, biomedical engineers, pediatric clinical investigators, researchers, and biostatisticians to ensure software meets scientific and clinical requirements.
  • Support technical documentation, validation materials, and information needed for research and regulatory/IRB review.
  • Provide technical updates, progress reports, presentations, and contributions to scientific manuscripts.
  • Provide technical guidance and mentorship to junior staff or trainees involved in MRI-focused machine learning projects.


Preferred Qualifications

  • Bachelor's degree or higher in Biomedical Engineering, Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, or a related technical/scientific field.
  • Demonstrated experience developing machine-learning or deep-learning models for medical imaging or scientific applications.
  • Strong programming experience, particularly with Python and common machine-learning/deep-learning frameworks.
  • Experience with medical image processing, MRI reconstruction, image enhancement, segmentation, or quantitative imaging.
  • Experience developing reproducible scientific software using practices such as version control, testing, documentation, containerization, and experiment tracking.
  • Experience managing or processing large imaging datasets and developing automated data pipelines.
  • Understanding of model validation, performance evaluation, and optimization.
  • Experience working in a multidisciplinary biomedical, clinical, academic, or research environment is highly preferred.

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.