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Remote Biomedical Engineering Jobs in Springfield, VA

Lexical Intelligence LLC

NLM Cloud Engineer III

Bethesda, MD · Remote

$59.50 - $79.50/hr

... biomedical information sources. Our Natural Language Processing (NLP) and analytics software is ... Required Qualifications * 6+ years of relevant cloud engineering, DevOps, or infrastructure ...

Lexical Intelligence

NLM Cloud Engineer III

Bethesda, MD · Remote

$59.75 - $79.75/hr

... biomedical information sources. Our Natural Language Processing (NLP) and analytics software is ... Required Qualifications * 6+ years of relevant cloud engineering, DevOps, or infrastructure ...

Draper Labs

Market Intelligence Intern

Reston, VA · On-site +1

$20 - $45/hr

From military defense and space exploration to biomedical engineering, lives often depend on the ... This position can be partially hybrid remote, however being in the office, when appropriate, is an ...

Draper

Market Intelligence Intern

Reston, VA · On-site +1

$20 - $45/hr

From military defense and space exploration to biomedical engineering, lives often depend on the ... This position can be partially hybrid remote, however being in the office, when appropriate, is an ...

Draper Labs

Senior Guidance & Control Engineer

Reston, VA · On-site +1

$82.30K - $220K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative ...

Draper

Senior Guidance & Control Engineer

Reston, VA · On-site +1

$82.30K - $220K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative ...

Black Canyon Consulting

Platform DevEx Engineer

Bethesda, MD · On-site +1

$56.50 - $77.25/hr

This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote. NCBI is ... NCBI advances science and public health by providing free access to biomedical literature and ...

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Remote Biomedical Engineering information

See Springfield, VA salary details

$42.8K

$99K

$146.2K

How much do remote biomedical engineering jobs pay per year?

As of Jun 4, 2026, the average yearly pay for remote biomedical engineering in Springfield, VA is $99,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $121,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Engineer, and why are they important?

To thrive as a Remote Biomedical Engineer, a solid background in biomedical engineering principles, mathematics, and physiology, often supported by a relevant degree, is essential. Familiarity with technical tools such as CAD software, medical device regulations, telecommunication platforms, and possibly certifications like CBET are typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for collaborating virtually and managing projects independently. These abilities ensure the successful design, implementation, and support of medical devices and solutions while maintaining regulatory compliance and effective teamwork in a remote setting.

What are some unique challenges of working as a remote biomedical engineer, and how can they be managed?

Remote biomedical engineers often face challenges such as limited hands-on access to medical devices and equipment, which can make troubleshooting and testing more complex. To manage these challenges, many professionals rely on virtual collaboration tools, remote monitoring software, and detailed documentation to communicate with on-site teams. Regular video conferences and clear communication protocols help ensure that remote engineers remain aligned with project goals and timelines. Building strong relationships with local staff and staying proactive in seeking updates can also help overcome the distance barrier.

What is remote biomedical engineering?

Remote biomedical engineering refers to the practice of designing, developing, and maintaining medical devices, software, and technologies from a location outside of a traditional healthcare or research facility. Professionals in this role often collaborate virtually with teams, use digital tools for diagnostics and analysis, and may provide remote support for medical equipment. This setup allows for greater flexibility and access to a wider range of expertise while still ensuring patient safety and device effectiveness.

What is the difference between Remote Biomedical Engineering vs Remote Clinical Engineering?

AspectRemote Biomedical EngineeringRemote Clinical Engineering
CredentialsBiomedical Engineering degree, certifications like CBETBiomedical Engineering or Clinical Engineering degree, certifications like CBET
Work EnvironmentDesign, research, and development remotely; some on-site for testingEquipment maintenance, troubleshooting, often remote support with some on-site visits
Employer & IndustryMedical device companies, research institutionsHospitals, healthcare facilities, medical equipment vendors
Search & Comparison IntentUnderstanding roles in medical device design and R&DSupporting and maintaining medical equipment remotely

Remote Biomedical Engineering focuses on designing and developing medical devices, often working remotely in research or development roles. In contrast, Remote Clinical Engineering involves supporting, maintaining, and troubleshooting medical equipment, typically with some on-site presence. Both roles require biomedical engineering credentials but differ in daily tasks and work environments.

What are popular job titles related to Remote Biomedical Engineering jobs in Springfield, VA? For Remote Biomedical Engineering jobs in Springfield, VA, the most frequently searched job titles are:
What cities near Springfield, VA are hiring for Remote Biomedical Engineering jobs? Cities near Springfield, VA with the most Remote Biomedical Engineering job openings:
Remote Biomedical Engineering jobs near you
Infographic showing various Remote Biomedical Engineering job openings in Springfield, VA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $99,028 per year, or $47.6 per hour.

Openshift / Kubernetes Engineer

Black Canyon Consulting

Bethesda, MD • On-site, Remote

$56.50 - $77.25/hr

Other

Posted 7 days ago

Job description

Overview

Black Canyon Consulting (BCC) is seeking Openshift/Kubernetes Engineer to join our systems team to support application developers and operations for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health.. This opportunity is full time at the NCBI in Bethesda, MD and/or remote work.

NCBI is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). NCBI advances science and public health by providing free access over the Internet to biomedical literature and genomic data, making it one of the 400 top most-visited sites in the world. NCBI has a diverse staff of smart, talented, and deeply technical people who collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts; and maintains ClinicalTrials.gov, a database of over 400,000 clinical studies around the world.

The Systems & DevOps team is responsible for the efficient operation of infrastructure to run NCBI's many applications.  This includes providing convenient, scalable solutions for development, deployment, and operations across teams, languages, and cloud and on-prem environments.

This is a great opportunity to work on challenging problems in a technical, scientific, and goal-oriented environment. NCBI offers flexible working hours, remote options, on- and off-site training courses, and conference attendance and tuition reimbursement.

Required Skills

NCBI has built a modern DevOps platform based on GitLab and Kubernetes, and is looking for support engineers to assist internal developers with transitioning legacy software development and deployment to the new The key requirement:

  • In-depth knowledge/experience with *building and maintaining* Red Hat OpenShift clusters. Merely "using" OpenShift is insufficient.
  • Experience with Kubernetes
  • Experience with GCP cloud services, including GKE and Anthos
  • Experience with Gitlab and especially Gitlab CI/CD
  • ArgoCD
  • Familiarity with service-mesh technologies: Istio, Linkerd, etc.
  • Provide on-call support to NCBI's internal developers and other staff.

Educational Requirements

  • BS degree in a STEM field, or equivalent experience
  • Customer-focused, team-oriented disposition
  • Good systems debugging skills
  • Comfortable with the Linux environment or UNIX CLI
  • Experience with some programming or scripting language
  • Have experience creating processes, procedures and SOP documentation 
  • General understanding of TCP/IP and related protocols 
  • Initiative to take ownership of tasks and drive them to completion
  • Comfortable dealing with users with varying levels of IT knowledge
  • Eager to learn new technologies
  • Strong communication and soft skills to interface with customers, peers and management
  • Good judgement, sense of integrity, and responsibility

Preferred Experience & Skill sets

  • Kubernetes, OpenShift, Cloud or Linux experience
  • Experience with:
    • Service Reliability Engineering in any capacity
    • Linux systems administration
    • Automated CI servers, especially TeamCity and/or GitLab
    • Automation programming/scripting in any of: bash, Ruby, Python, Go, Java, Scala, Rust, C++, Perl 
    • Automated configuration management, such as Puppet, Ansible, Chef, bcfg2, cfengine, etc.  Puppet is preferred.
    • Version control systems, especially git
    • Service Mesh technologies (e.g., linkerd, Istio)
    • Configuring or using monitoring and alerting technologies (TIGK stack, Grafana, Prometheus, OpsGenie)
    • Confluence, Jira, and Microsoft Office suite
    • GitOps tools, especially ArgoCD
    • Google Anthos
  • Understanding of:
    • Linux internals (system calls, file systems, processes, etc.)
    • Linux network configuration
    • Linux application containerization, especially Docker
    • Attached network storage technologies
    • Cloud computing environment such as AWS, GCP or Azure
    • Automated CI/CD pipelines
    • Distributed systems design principles

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