2

Remote Google Biomedical Engineering Jobs in California

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... algorithms, remote contactless biosensing together with end-to-end engineering services, and ... Connect biomedical sensor data with medical, health, and fitness outcomes * Research and ...

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

... and engineering teams to develop scalable, high-quality data solutions that enable advanced ... Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform ...

Remote Role Responsibilities * Manage and update your Google Business Profile (GBP) to ensure accurate and current business information. * Respond to inquiries and engage with customers to enhance ...

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Clinical Research Associate

Irvine, CA · Remote

$120K - $135K/yr

Perform remote monitoring activities such as source data verification (SDV) and data entry checks ... biomedical engineering). * 5+ years of clinical research experience at a Sponsor, preferably in ...

next page

Showing results 1-20

Remote Google Biomedical Engineering information

What are the key skills and qualifications needed to thrive as a remote Google biomedical engineer?

To thrive as a Remote Google Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with programming languages (such as Python or MATLAB), cloud computing platforms (like Google Cloud), and experience with medical device standards or software are often required. Excellent communication, self-motivation, and collaboration skills help you effectively coordinate with remote teams and stakeholders. These skills ensure successful development of innovative healthcare solutions while maintaining high standards and seamless teamwork in a remote environment.

What is the difference between Remote Google Biomedical Engineering vs Remote Medical Device Software Engineer?

AspectRemote Google Biomedical EngineeringRemote Medical Device Software Engineer
Required CredentialsBiomedical engineering degree, certifications in medical device regulationsSoftware engineering degree, certifications in medical device software standards
Work EnvironmentTech companies, healthcare institutions, research labsMedical device companies, healthcare tech firms, regulatory agencies
Industry UsageDevelops medical technologies, diagnostics, imaging systemsDesigns and tests software for medical devices, ensuring compliance

Remote Google Biomedical Engineering focuses on developing medical technologies and diagnostics within tech and healthcare environments, requiring biomedical credentials. In contrast, Remote Medical Device Software Engineers specialize in creating and validating software for medical devices, emphasizing software skills and regulatory standards. Both roles are essential in advancing healthcare technology remotely, but they differ in focus and expertise.

What are some common challenges faced by remote biomedical engineers working on Google projects, and how can they overcome them?

Remote biomedical engineers at Google often collaborate with interdisciplinary teams across different time zones, which can make communication and project alignment challenging. To overcome these hurdles, it’s important to establish clear channels for regular updates, leverage collaborative tools like Google Workspace, and proactively schedule meetings to accommodate diverse schedules. Staying organized and maintaining transparent documentation helps ensure that everyone stays on the same page, enhancing productivity and reducing miscommunication.

What is a remote Google biomedical engineer?

A Remote Google Biomedical Engineering job involves working for Google in the field of biomedical engineering from a remote location, rather than being physically present at an office. Professionals in this role typically focus on developing innovative healthcare technologies, analyzing biological data, and collaborating with cross-functional teams to solve medical challenges using engineering principles. As the position is remote, employees use digital tools to communicate, manage projects, and contribute to research or product development from anywhere with internet access. These roles may require a strong background in biomedical engineering, computer science, and experience with medical devices or data analysis.
What are the most commonly searched types of Google Biomedical Engineering jobs in California? The most popular types of Google Biomedical Engineering jobs in California are:
What are popular job titles related to Remote Google Biomedical Engineering jobs in California? For Remote Google Biomedical Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Google Biomedical Engineering jobs in California look for? The top searched job categories for Remote Google Biomedical Engineering jobs in California are:
What cities in California are hiring for Remote Google Biomedical Engineering jobs? Cities in California with the most Remote Google Biomedical Engineering job openings:

Biomedical Evaluator - Fully Remote | Upto $120/hr

Mercor

San Francisco, CA • Remote

$120/hr

Full-time

Re-posted 26 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Clinical / biomedical / pharma Evaluator
Type: Contract
Compensation: $80–$120/hour
Location: Remote

Role Responsibilities

  • Evaluate AI-generated artifacts against domain-specific quality rubrics.
  • Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks.
  • Provide clear, structured written feedback to improve AI model outputs.
  • Apply deep subject-matter expertise in Clinical / biomedical / pharma to grade outputs.
  • Work independently and asynchronously to ensure accuracy and rigor in evaluations.

Qualifications

Must-Have

  • 5+ years of relevant professional experience in Clinical / biomedical / pharma.
  • Native or professional fluency in English.
  • Highly proficient in Microsoft Office and Google Workspace, especially Slides.

Preferred

  • Advanced degree (Master's or higher) from a reputable institution.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.