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Google Biomedical Engineering Jobs in Virginia (NOW HIRING)

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Google Biomedical Engineering information

What are the key skills and qualifications needed to thrive in the Google Biomedical Engineering position, and why are they important?

To thrive as a Google Biomedical Engineer, you need a strong background in biomedical engineering, computer science, and data analysis, ideally supported by an advanced degree and practical experience. Familiarity with software development tools (such as Python or MATLAB), medical imaging systems, and machine learning platforms is commonly required. Strong problem-solving abilities, effective communication skills, and a collaborative mindset are vital soft skills for working on cross-functional teams. These competencies ensure innovative solutions, effective teamwork, and the ability to translate complex biomedical data into impactful technologies.

What is a Google Biomedical Engineering job?

A Google Biomedical Engineering job involves applying engineering principles to develop innovative healthcare technologies, medical devices, and computational tools. Biomedical engineers at Google work on projects related to AI-driven diagnostics, wearable health technologies, and bioinformatics. They collaborate with scientists, software engineers, and healthcare professionals to improve patient outcomes and advance medical research. The role requires expertise in biomedical engineering, programming, and data analysis.

Is there a high demand for biomedical engineers?

Biomedical engineering is a growing field with strong demand driven by advances in medical technology, aging populations, and increased healthcare needs. Job opportunities are expected to increase faster than the average for all occupations, and professionals often require knowledge of engineering principles, biology, and medical devices. Certification and proficiency with design software can enhance employability in this field.

Which company is best for biomedical engineering?

There is no single best company for biomedical engineering; top employers include medical device firms, pharmaceutical companies, and research institutions such as Medtronic, Johnson & Johnson, and Siemens Healthineers. Factors like company size, innovation focus, and opportunities for specialization influence suitability. Biomedical engineers often work with CAD software, regulatory standards, and may require advanced degrees or certifications.

What types of projects do Google Biomedical Engineering professionals typically work on, and how do they collaborate with other teams?

Biomedical Engineering professionals at Google are commonly involved in projects such as developing health-related algorithms, improving medical imaging technologies, and creating data-driven healthcare solutions. They work closely with interdisciplinary teams, including software developers, data scientists, clinicians, and UX designers, to bring advanced medical technologies to market. Daily responsibilities may involve analyzing large-scale health data, prototyping wearable devices, or optimizing healthcare AI applications. Collaboration is key, as projects often require coordination between research, engineering, and regulatory teams to ensure robust and user-friendly outcomes.

Can a biomedical engineer work at Google?

Yes, biomedical engineers can work at Google, especially in roles related to health technology, data analysis, or research and development. Google hires professionals with expertise in engineering, programming, and healthcare, often requiring skills in machine learning, data management, and interdisciplinary collaboration.

Does Apple hire biomedical engineers?

Apple has hired biomedical engineers in the past to work on health-related features and devices, such as the Apple Watch and health sensors. Biomedical engineering roles at Apple typically involve developing hardware, software, and health data analysis, often requiring knowledge of medical devices, sensors, and regulatory standards.
What are popular job titles related to Google Biomedical Engineering jobs in Virginia? For Google Biomedical Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Google Biomedical Engineering jobs in Virginia look for? The top searched job categories for Google Biomedical Engineering jobs in Virginia are:
Google Biomedical Engineering jobs near you
Infographic showing various Google Biomedical Engineering job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Software Developer (VDB)

Black Canyon Consulting

Fairfax, VA

$56.25 - $74.25/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Overview
Black Canyon Consulting (BCC) is searching for a Senior Software Developer (VDB) to support National Center for Biotechnology Information (NCBI). This opportunity is full time and onsite at the NCBI in Bethesda, MD.
The Senior Software Developer will work on solutions to support continued development of NCBI's Sequence Read Archive (SRA) - the world premier archive of Next Generation Sequencing (NGS) data and is a part of international collaboration that includes archives in Europe and Japan. SRA makes biological sequence data derived from NGS available to the research community to enhance reproducibility and allow for new discoveries by analyzing and comparing data sets. SRA is a BigData archive measured in tens of petabytes of stored data. The future development of SRA will make this data more useful for wide variety fields: Medical Health (genetic diseases, cancer, etc.), Public Health (food safety monitoring, antimicrobial resistance, viral outbreaks, etc.), microbial diversity, and many more.
The VDB team is responsible for developing and maintaining the database layer of SRA and a set of client-side tools that provide access to the SRA data for members of the research community. The current focus of the development effort is on utilizing cloud technologies to achieve higher stability, reliability and performance of the libraries and tools, while keeping the storage requirements of the SRA under control.
The team uses C++11 and Python. The development environment is Linux, gmake/Cmake, with github for source control, TeamCity/Jenkins for CI/CD. Some of the projects are also maintained on Windows (MS Visual Studio, Apache Ant). The team practices a form of Agile development process, involving daily stand-ups and test-driven development.
NCBI is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). is the world's premier biomedical center hosting over six million daily users that seek research, clinical, genetic, and other information that directly impacts biomedical research and public health - at NCBI you can literally help to accelerate cures for diseases! NCBI's wide range of applications, platforms (node, python, Django, C++, you name it) and environments (big data [petabytes], machine learning, multiple clouds) serve more users than almost any other US Government Agency according to .
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Duties & Responsibilities
  • Development, implementation, testing, and continued maintenance of the VDB Library, the SRA Toolkit and related projects.
    Participate in development of "cloud ready" tools and pipelines to support sustainable scalability and enable use by collaborators and scientists in the field.
  • Learn new technologies, keep up with the internal systems, and share your knowledge with the team.
  • Lead other developers.
Requirements
  • 5+ years experience and demonstrated proficiency in Object-Oriented programming using C++
  • Programming experience in a Linux environment.
  • Experience with Cloud technologies:
    • AWS: EC2, S3, Lambda
    • Google Cloud Platform: GKE, Google Store, Cloud functions
  • Fluency in some of scripting languages such as bash, perl, or python
  • Ability to work with JSON and similar structured document formats
  • Experience with network programming, multi-threaded programming
  • Experience with SQL and relational databases
  • Experience with open source projects
  • Experience with Agile development methodologies
  • Experience with CI/CD pipelines, unit tests, integration and regression testing
Bonus Skills
  • 5+ years of working with genetic and biological data
  • Demonstrated active involvement into open source communities (github, etc.)
  • Experience in multi-platform development (POSIX, WinAPI).
  • Experience with containers (Docker)
  • Experience with parsing tools (flex/bison) and design and implementation of domain-specific languages

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