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Biomedical Software Engineer Jobs in Washington (NOW HIRING)

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Collaborate with MRI physicists, biomedical engineers, pediatric clinical investigators, researchers, and biostatisticians to ensure software meets scientific and clinical requirements. * Support ...

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RESEARCH JAVA SOFTWARE ENGINEER

Bethesda, MD · On-site

$55.50 - $76/hr

The Research Java Software Engineer will support the National Institutes of Health (NIH ... for biomedical researches, clinicians and the general public Design a development of a new ...

Senior Software Developer

Bethesda, MD · On-site +1

$58.25 - $77/hr

NCBI is the world's premier biomedical center hosting over six million daily users that seek ... The Senior Software Developer will work with the team to develop and maintain software supporting ...

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Biomedical Software Engineer information

See Washington salary details

$71.9K

$167.1K

$232.7K

How much do biomedical software engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for biomedical software engineer in Washington is $167,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $195,900.00 per year, depending on experience, location, and employer.

What is a biomedical software engineer?

A Biomedical Software Engineer develops software solutions for medical and healthcare applications, including medical devices, diagnostic tools, and research simulations. They combine biomedical knowledge with software development skills to create and maintain systems that improve patient care, enhance medical research, and ensure regulatory compliance. Their work often involves programming, data analysis, and collaboration with healthcare professionals and researchers.

What does a biomedical software engineer do?

Biomedical Software Engineers often work on designing, developing, and maintaining software used in medical devices, clinical diagnostics, or healthcare information systems. Typical responsibilities include coding new features, troubleshooting and resolving software issues, ensuring compliance with medical standards, and participating in quality assurance testing. You may also collaborate closely with clinicians, researchers, and regulatory specialists to align technological solutions with user needs and safety requirements. These projects frequently involve iterative development and rigorous validation to ensure reliability in real-world medical settings.

What skills and qualifications are needed to be a biomedical software engineer?

To thrive as a Biomedical Software Engineer, you need a strong background in computer science, biomedical engineering, and software development—often supported by a bachelor's or master's degree in a related field. Proficiency with programming languages such as Python, C++, or Java, familiarity with medical imaging tools, and experience working with healthcare interoperability standards like HL7 or DICOM are typically required. Effective communication, teamwork, and problem-solving skills are crucial for collaborating with cross-functional teams and understanding user requirements. These competencies ensure that biomedical software solutions are safe, compliant, and meet the complex needs of healthcare environments.

What cities in Washington are hiring for Biomedical Software Engineer jobs?

Cities in Washington with the most Biomedical Software Engineer job openings:

Infographic showing various Biomedical Software Engineer job openings in Washington as of August 2026, with employment types broken down into 6% Internship, 75% Full Time, and 19% Contract. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution, with an average salary of $167,085 per year, or $80.3 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

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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.