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Google Biomedical Engineering Jobs in Boston, MA

MSD

Associate Director, AI/ML Engineering

Cambridge, MA

$64K - $65K/yr

PhD in Computer Science, Physics, Electrical Engineering, Biomedical Engineering, Bioinformatics ... Amazon Web Services (AWS), Databricks Platform, Google Cloud Platform (GCP) for Machine Learning ...

Cleerly

Sr. ML Scientist

Boston, MA · On-site

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 ...

Eight Sleep

Research Associate

Boston, MA · On-site

$70K - $100K/yr

Experience with prototype hardware, software, Google suite, and command line tools * Basic ... Bachelor's Degree or equivalent in Biomedical Engineering, Electrical Engineering, Mechanical ...

IQVIA

AI Solutions Architect (Remote)

Boston, MA · On-site +1

$68.50 - $90.25/hr

Architect biomedical knowledgegraphs, ontologies, and semantic data models that support scientific ... Strong programming and solution development experience, particularly in Python and modern AI ...

IQVIA

AI Solutions Architect (Remote)

Boston, MA · On-site +1

$68.50 - $90.25/hr

Architect biomedical knowledgegraphs, ontologies, and semantic data models that support scientific ... Strong programming and solution development experience, particularly in Python and modern AI ...

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Google Biomedical Engineering information

See Boston, MA salary details

$44.5K

$103K

$152.1K

How much do google biomedical engineering jobs pay per year?

As of Aug 1, 2026, the average yearly pay for google biomedical engineering in Boston, MA is $102,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $126,000.00 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 prospects are favorable, especially for those with skills in medical device design, biomaterials, and regulatory compliance, and the field often offers opportunities in research, manufacturing, and clinical settings.

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.

What engineers make $300,000 a year?

Senior biomedical engineers, especially those in leadership roles or with specialized expertise, can earn $300,000 or more annually. Achieving this level often requires extensive experience, advanced degrees, and skills in areas like medical device development, regulatory compliance, or biomedical research, typically within large healthcare or biotech companies.

What engineers make $500,000?

In biomedical engineering, senior roles such as lead biomedical engineers, R&D directors, or those in executive management can earn $500,000 or more annually, especially with extensive experience, advanced degrees, and specialized skills. High compensation often involves leadership positions, patent contributions, or working in innovative sectors like medical device development or biotech startups.

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.
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Google Biomedical Engineering jobs near you
Infographic showing various Google Biomedical Engineering job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,999 per year, or $49.5 per hour.

HMS - Associate in Biomedical Informatics (HIDIVE Lab)

Harvard University

Cambridge, MA • On-site

$60K - $67K/yr

Full-time

Re-posted 27 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

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Job description

Position
Details
Title
HMS - Associate in Biomedical Informatics (HIDIVE Lab)
School
Harvard Medical School
Department/Area
Position Description
Our Lab
Join our team of researchers, engineers, and designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems!
The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab can be found on Google Scholar.
We value diverse viewpoints, creative thinking, and bold initiative in a highly collaborative and interdisciplinary work environment. The HIDIVE Lab has an international reputation for creating high impact data visualization tools and we are driven to solve the most challenging design and engineering problems where biomedical data, humans, and AI meet. We would love to have you on our team!
Your Role
As an Associate in the lab, you will be part of our research team and contribute one or more of the following skills to HIDIVE Lab projects:
  • research and methods development
  • software engineering, and visualization, user interface, or user experience design
  • data collection, management, and analysis
  • academic writing

You will work under the mentorship of the PI, postdoctoral fellows, or other senior lab members.
Our Resources
The HIDIVE Lab participates in large-scale collaborative projects such as
  • NIH Human Biomolecular Atlas Program (HuBMAP)
  • NIH Cellular Senescence Network (SenNet)
  • NIH Kidney Precision Medicine Network (KPMP)
  • NIH Common Fund Data Ecosystem (CFDE)
  • APRA-H Biomedical Data Fabric (BDF)
  • Human Cell Atlas (HCA)
  • NIH 4D Nucleome Consortium (4DN).

Through these projects, we have access to a large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects.
Our work also benefits from multiple research software products (e.g., HiGlass, Vitessce, Gosling, HuBMAP Data Portal User Interface, etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and designers. These products are used by individual scientists, consortia, and companies all over the world and can serve as a framework to implement and disseminate the outcomes of our research.
Basic Qualifications
The minimum qualifications for this role are:
  • Bachelor or Masters degree in biomedical
    informatics, computer science, computational
    biology, data science or a related field.
  • Prior research experience (internships, research
    assistantships) and contributions to scientific
    projects involving computational work.

Additional Qualifications
If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.
Special Instructions
Contact Information
George Bandek
695 Huntington Ave, STE 514
Boston, MA 02115
Contact Email
george_bandek@hms.harvard.edu
Salary Range
$60,000 - $67,000
Minimum Number of References Required
Maximum Number of References Allowed
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