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Google Biomedical Engineering Jobs (NOW HIRING)

Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and ... D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related ...

Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and ... D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related ...

NLM Cloud Engineer III

Bethesda, MD · Remote

$59.50 - $79.50/hr

... biomedical information sources. Our Natural Language Processing (NLP) and analytics software is ... Engineering, or related fields * Demonstrated experience with cloud platforms including Google ...

$90K - $100K/yr

... Sciences, Biotechnology, Biomedical Engineering, Engineering, or a related major required ... ● Proficiency in Google Suite or equivalent productivity software. ● Ability to work ...

... Sciences, Biotechnology, Biomedical Engineering, Engineering, or a related major required ... • Proficiency in Google Suite or equivalent productivity software. • Ability to work ...

NLM Cloud Engineer I

Bethesda, MD · On-site

$70K - $90K/yr

... biomedical information sources. Our Natural Language Processing (NLP) and analytics software is ... Engineering, or related fields * Hands-on experience with cloud platforms (Google Cloud, AWS, and ...

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Google Biomedical Engineering information

See salary details

$41K

$94.8K

$140K

How much do google biomedical engineering jobs pay per year?

As of Jun 15, 2026, the average yearly pay for google biomedical engineering in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,000.00 per year, depending on experience, location, and employer.

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.
More about Google Biomedical Engineering jobs
What cities are hiring for Google Biomedical Engineering jobs? Cities with the most Google Biomedical Engineering job openings:
What are the most commonly searched types of Google Biomedical Engineering jobs? The most popular types of Google Biomedical Engineering jobs are:
What states have the most Google Biomedical Engineering jobs? States with the most job openings for Google Biomedical Engineering jobs include:
What job categories do people searching Google Biomedical Engineering jobs look for? The top searched job categories for Google Biomedical Engineering jobs are:
Infographic showing various Google Biomedical Engineering job openings in the United States as of June 2026, with employment types broken down into 8% Internship, 84% Full Time, and 8% Part Time. Highlights an 100% In-person job distribution, with an average salary of $94,807 per year, or $45.6 per hour.
Sr. ML Scientist

Sr. ML Scientist

Cleerly, LLC

Boston, MA • On-site, Remote

Other

Posted 28 days ago


Job description

About Cleerly
We're Cleerly - a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.
Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks.
At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description.
While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.
Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives.
About the Opportunity
We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions.
Key Responsibilities
  • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications.
  • Conduct rigorous analysis and validation of machine learning algorithms and prototypes.
  • Explore novel methods for processing and analyzing large, complex medical imaging datasets.
  • Collaborate with engineering teams to deploy ML algorithms in clinical practice.
  • Present research findings, insights, and recommendations to internal stakeholders and external collaborators.
  • Author scientific publications and contribute to patent development.
  • Manage collaborative research projects with leading academic partners.
Required Qualifications & Skills
  • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience.
  • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning.
  • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection.
  • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis, MIDL etc.).
  • Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results.
  • Ability to translate complex clinical requirements into machine learning solutions.
  • Strong critical thinking, problem-solving, and project management skills.
  • Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.
Preferred Qualifications
  • 2+ years of postdoctoral research or industry experience.
  • Hands-on experience with developing and fine-tuning large foundation models.
  • Hands-on experience with developing multimodal machine learning algorithms.
  • Hands-on experience in developing and applying advanced deep learning models, including stable diffusion, vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques.
  • Strong domain knowledge in CT imaging and its clinical applications.
The base salary range for this role varies by location and is aligned to market benchmarks.
  • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
  • Final compensation is determined based on location, experience, skills, and internal equity.
This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:
  • Base Salary: $186,000 - $212,000
  • TTC: $214,000 - $245,000
*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.
Working at Cleerly takes HEART. Discover our Core Values:
  • H: Humility- be a servant leader
  • E: Excellence- deliver world-changing results
  • A: Accountability- do what you say; expect the same from others
  • R: Remarkable- inspire & innovate with impact
  • T: Teamwork- together we win

Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company.
OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts.
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