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Amazon Biomedical Engineering Jobs (NOW HIRING)

Jj

Principal Data Scientist - Oncology

San Diego, CA · On-site

Programming background in parser combinators, natural language processing, and linked data (RDF ... Amazon Neptune). * Proven work with complex biomedical datasets (e.g. clinical, genomics ...

Jj

Principal Data Scientist - Oncology

Raritan, NJ · On-site

Programming background in parser combinators, natural language processing, and linked data (RDF ... Amazon Neptune). * Proven work with complex biomedical datasets (e.g. clinical, genomics ...

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Amazon Biomedical Engineering information

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$41K

$94.8K

$140K

How much do amazon biomedical engineering jobs pay per year?

As of Jun 30, 2026, the average yearly pay for amazon 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 is an Amazon Biomedical Engineering job?

An Amazon Biomedical Engineering job involves applying engineering principles to healthcare-related technologies, primarily in Amazon’s healthcare, supply chain, and research initiatives. Professionals in this role may work on medical device development, healthcare logistics optimization, or AI-driven diagnostics. They collaborate with data scientists, software engineers, and healthcare professionals to improve medical systems and patient care. Responsibilities can include designing, testing, and improving biomedical equipment or infrastructure within Amazon’s expanding healthcare ecosystem.

What engineering jobs pay $500,000?

In biomedical engineering, high-paying roles such as biomedical engineering directors, senior R&D managers, or chief technology officers can reach or exceed $500,000 annually, especially in large companies or with extensive experience and advanced degrees. These positions often require strong leadership skills, expertise in medical device development, and experience managing large teams or budgets.

What are some of the main responsibilities of a Biomedical Engineer at Amazon, and how does the role contribute to larger organizational goals?

Biomedical Engineers at Amazon focus on developing, testing, and improving health-related devices, systems, or solutions that support Amazon’s healthcare initiatives or logistics involving medical products. Their tasks commonly include collaborating with cross-functional teams—such as software developers, operations, and quality assurance—to design and optimize biomedical products, ensure compliance with regulatory standards, and assess product safety and efficacy. They may also participate in data analysis and process improvements to enhance operational efficiency. This role is crucial in helping Amazon drive innovation in healthcare technology while maintaining high standards for safety, effectiveness, and customer satisfaction.

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

To thrive in an Amazon Biomedical Engineering role, you need a solid background in biomedical engineering, life sciences, or a related field, supported by relevant degrees and experience. Familiarity with medical device development, data analytics platforms, regulatory compliance, and quality management systems such as ISO 13485 is typically required. Strong problem-solving abilities, collaboration, and clear communication skills distinguish top performers in this position. These competencies enable effective innovation, ensure regulatory compliance, and support teamwork in a rapidly evolving healthcare technology environment.

Does Amazon hire bioengineers?

Amazon hires bioengineers for roles related to healthcare, medical devices, and biotechnology, often requiring expertise in biomedical systems, data analysis, and engineering principles. These positions may involve research, product development, or integration of biomedical technologies within Amazon's healthcare initiatives.

What companies hire the most biomedical engineers?

Biomedical engineers are commonly employed by medical device companies, healthcare technology firms, and research institutions such as Medtronic, Johnson & Johnson, Siemens Healthineers, and GE Healthcare. These companies focus on developing and maintaining medical equipment, diagnostic tools, and healthcare systems, often requiring knowledge of engineering principles, regulatory standards, and proficiency with CAD and testing tools.

Can a biomedical engineer make 200k?

Biomedical engineers typically earn salaries below $200,000, with most earning between $60,000 and $120,000 annually. Achieving a $200,000 salary often requires advanced experience, specialized skills, management roles, or working in high-paying industries or locations.
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Amazon Biomedical Engineering jobs near you
Data Scientist

Data Scientist

Fullpower Technologies, Inc.

Santa Cruz, CA • On-site

$130K - $170K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Work with health data and time-series sensor data.

  • Research and develop machine learning algorithms and statistical models for non-invasive sleep tracking.

  • Develop visualizations and tools for understanding and annotating data.

Job description

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.

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