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Remote Biomedical Engineering Jobs in California

Fullpower Technologies

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 ...

Tempus

Senior Quality Engineer

Redwood City, CA · On-site +1

S. or higher preferred in Computer Science, Software Engineering, Informatics, Biomedical, or ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Lead Quality Engineer

Redwood City, CA · On-site +1

$120K - $165K/yr

... Engineering field such as Biomedical, Bioengineering or Chemical Engineering * Experience with ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Biohub

Staff HPC Engineer

San Francisco, CA · On-site +1

... biomedical research. What You'll Do HPC Engineering * Build and support a hybrid HPC-AI environment ... remote dev, containerization, MLOps workflows). What You'll Bring Essential * Bachelor's or ...

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Remote Biomedical Engineering information

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

AspectRemote Biomedical EngineeringRemote Clinical Engineering
CredentialsBiomedical Engineering degree, certifications like CBETBiomedical Engineering or Clinical Engineering degree, certifications like CBET
Work EnvironmentDesign, research, and development remotely; some on-site for testingEquipment maintenance, troubleshooting, often remote support with some on-site visits
Employer & IndustryMedical device companies, research institutionsHospitals, healthcare facilities, medical equipment vendors
Search & Comparison IntentUnderstanding roles in medical device design and R&DSupporting and maintaining medical equipment remotely

Remote Biomedical Engineering focuses on designing and developing medical devices, often working remotely in research or development roles. In contrast, Remote Clinical Engineering involves supporting, maintaining, and troubleshooting medical equipment, typically with some on-site presence. Both roles require biomedical engineering credentials but differ in daily tasks and work environments.

What engineers make $300,000 a year?

Senior biomedical engineers with extensive experience, specialized skills, and advanced certifications can earn $300,000 or more annually, especially in leadership roles or in high-demand sectors like medical device development or biotech. Achieving this level often requires advanced degrees, a strong track record, and working in competitive or executive positions within the industry.

What is remote biomedical engineering?

Remote biomedical engineering refers to the practice of designing, developing, and maintaining medical devices, software, and technologies from a location outside of a traditional healthcare or research facility. Professionals in this role often collaborate virtually with teams, use digital tools for diagnostics and analysis, and may provide remote support for medical equipment. This setup allows for greater flexibility and access to a wider range of expertise while still ensuring patient safety and device effectiveness.

Is it possible to work remotely as an engineer?

Remote biomedical engineering roles are increasingly available, especially in areas like software development, data analysis, and design work that can be performed with digital tools. However, some positions requiring laboratory work, equipment calibration, or clinical collaboration may require onsite presence. Skills in communication, remote collaboration tools, and relevant certifications can facilitate remote work opportunities in this field.

What engineers make $500,000?

Senior biomedical engineers with extensive experience, advanced skills in medical device development, and leadership roles can reach or exceed a $500,000 annual salary, especially in high-demand sectors or executive positions. Achieving this level often requires advanced degrees, specialized certifications, and working in competitive or high-cost regions.

What are some unique challenges of working as a remote biomedical engineer, and how can they be managed?

Remote biomedical engineers often face challenges such as limited hands-on access to medical devices and equipment, which can make troubleshooting and testing more complex. To manage these challenges, many professionals rely on virtual collaboration tools, remote monitoring software, and detailed documentation to communicate with on-site teams. Regular video conferences and clear communication protocols help ensure that remote engineers remain aligned with project goals and timelines. Building strong relationships with local staff and staying proactive in seeking updates can also help overcome the distance barrier.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Engineer, and why are they important?

To thrive as a Remote Biomedical Engineer, a solid background in biomedical engineering principles, mathematics, and physiology, often supported by a relevant degree, is essential. Familiarity with technical tools such as CAD software, medical device regulations, telecommunication platforms, and possibly certifications like CBET are typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for collaborating virtually and managing projects independently. These abilities ensure the successful design, implementation, and support of medical devices and solutions while maintaining regulatory compliance and effective teamwork in a remote setting.

Can a biomedical engineer make 200k?

Biomedical engineers can earn salaries approaching or exceeding $200,000 annually, especially with advanced experience, specialized skills, management roles, or working in high-paying industries like medical device development or biotech. However, such salaries are typically achieved after several years of experience and often require advanced degrees or certifications. Entry-level salaries are generally lower, and geographic location can also influence earning potential.
What are the most commonly searched types of Biomedical Engineering jobs in California? The most popular types of Biomedical Engineering jobs in California are:
What are popular job titles related to Remote Biomedical Engineering jobs in California? For Remote Biomedical Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Engineering jobs in California look for? The top searched job categories for Remote Biomedical Engineering jobs in California are:
What cities in California are hiring for Remote Biomedical Engineering jobs? Cities in California with the most Remote Biomedical Engineering job openings:
Remote Biomedical Engineering jobs near you

2026 Fall Health AI Scholar, Digital Health Algorithms

Samsung Research America Internship

Mountain View, CA • On-site, Remote

Other

Posted 7 days ago

Job description

Lab Summary:

Samsung Research America Digital Health Algorithms Team (https://www.sra.samsung.com/digital-health/) collaborates with top universities, hospitals, and healthcare-industry partners to collect large-scale data and develop novel AI/ML algorithms to transform how healthcare is delivered. We use design thinking to address some of healthcare's toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access. 

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms for developing digital biomarkers and digital interventions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives. Our work has been internationally recognized with 70+ peer-reviewed publications and 10 design awards.

Our portfolio of digital health algorithmic solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

Position Summary:

We are looking for a highly motivated and talented individual with solid ML/AI/GenAI technology background to join the Digital Health Algorithms Team as a Health AI Scholar for a 10-month residency program,. This position is ideal for a fresh graduate PhD student or a postdoctoral researcher with digital health research experience in multi-modal physiological timeseries algorithm development and passionate about applying cutting-edge artificial intelligence techniques to health-related challenges. You will have the opportunity to work alongside a diverse and innovative team, leveraging your expertise to advance our AI-driven health initiatives.

Samsung's unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.

Position Responsibilities:

  • Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
  • Work with large-scale time-series datasets, developing robust algorithms to extract meaningful insights.
  • Collaborate with multidisciplinary teams to translate AI-driven insights into impactful healthcare solutions.
  • Train and fine-tune deep learning models using AWS AI services, ensuring scalability and efficiency.
  • Contribute to the development of novel AI methodologies to address complex healthcare challenges.
  • Actively engage in team discussions, fostering a collaborative and inclusive work environment.

Required Skills:

  • PhD (near completion) or postdoctoral experience in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related field.
  • Strong expertise in deep learning techniques (e.g., self-supervised learning, transformer architectures, CNNs, RNNs).
  • Proven experience working with time-series datasets, preferably in health-related domains.
  • Proficiency in developing and deploying models using AWS AI services including SageMaker and Redshift.
  • A track record of peer-reviewed publications in top AI/health-related journals or conferences.
  • Programming using languages such as Python, R, Android, C/C++, Java.
  • Demonstrated ability to work collaboratively in multidisciplinary teams.

Apply