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Remote Amazon Biomedical Engineering Jobs in California

Data Scientist

Santa Cruz, CA ยท 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 ...

$90K - $100K/yr

... Sciences, Biotechnology, Biomedical Engineering, Engineering, or a related major required ... Remote

$212K - $273K/yr

They will be responsible for leading a team of Engineers who own the entire engineering life-cycle ... React.js, Redux), Ruby on Rails, Database, System Management (Amazon Web Services "AWS") and ...

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Remote Amazon Biomedical Engineering information

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

AspectRemote Amazon Biomedical EngineeringRemote Amazon Clinical Engineering
Required CredentialsBiomedical Engineering degree, certifications in medical device safetyBiomedical Engineering degree, certifications in clinical equipment management
Work EnvironmentDesign, development, and testing of medical devices remotelyMaintenance, troubleshooting, and support of clinical equipment remotely
Employer & Industry UsageMedical device companies, healthcare technology providersHospitals, healthcare facilities, medical device companies
Common Search & Comparison IntentUnderstanding roles in medical device design and developmentFocus on clinical equipment support and management

Remote Amazon Biomedical Engineering involves designing and developing medical devices remotely, requiring engineering credentials and a focus on product innovation. In contrast, Remote Amazon Clinical Engineering centers on supporting and maintaining clinical equipment remotely, emphasizing troubleshooting and clinical safety. Both roles are integral to healthcare technology but differ in daily tasks and focus areas.

Can remote Amazon biomedical engineering be remote?

Remote biomedical engineering roles at Amazon are often available, especially for positions involving design, analysis, and software development that can be performed online. However, some roles may require on-site presence for equipment testing, manufacturing, or regulatory compliance. Candidates should review specific job descriptions for remote work eligibility and required skills such as proficiency with medical device software and certifications.

Does Amazon hire biomedical engineers?

Amazon hires biomedical engineers for roles related to healthcare technology, medical device development, and health data analysis. These positions often require knowledge of biomedical systems, software tools, and relevant certifications, and may involve collaboration with healthcare providers or research teams.
What are the most commonly searched types of Amazon Biomedical Engineering jobs in California? The most popular types of Amazon Biomedical Engineering jobs in California are:
What cities in California are hiring for Remote Amazon Biomedical Engineering jobs? Cities in California with the most Remote Amazon Biomedical Engineering job openings:

Data Scientist

Fullpower Technologies

Santa Cruz, CA โ€ข Remote

$130K - $170K/yr

Full-time

Re-posted 16 days ago


Job description

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services.

Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes.

The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications.

Job Responsibilities:

  • Work with health data and time-series sensor data
  • Connect biomedical sensor data with medical, health, and fitness outcomes
  • Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking
  • Develop visualizations and tools for understanding and annotating data
  • Optimize algorithms for running on embedded devices and in the cloud
  • Design and run experiments and clinical trials
  • Processing, cleaning, and combining different data sources to create new datasets
  • Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions

Software skills:

  • Expertise in Python and packages such as numpy, pandas, scikit-learn
  • Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent
  • Experience working with databases including familiarity with SQL
  • Experience with Amazon Web Services (AWS) or Google Cloud
  • Experience with C++ is a plus

Leadership qualities:

  • Self starter
  • Strong interpersonal and communication skills

Education and Experience:

  • Experience applying data science and machine learning to real-world problems
  • Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent
  • Graduate degree and/or 5+ years experience a plus

Additional Information:

  • Fullpower does not sponsor work visas - must already be authorized to work in the United States
  • The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.
Employment Type: Full-Time