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Evening Remote Patient Monitoring Jobs in California

Circadia Health

Provider Operations Coordinator

El Segundo, CA · Remote

$50K - $70K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Familiarity with remote patient monitoring (RPM/RTM) billing and CPT coding basics. * Experience working in or with skilled nursing facilities (SNFs). * Experience with esMD, Kiteworks, or other ...

Ennoble Care

Actuary

San Diego, CA · Remote

$150/hr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of ...

SHPCA SCAN Health Plan

Senior Product Manager

Long Beach, CA · Remote

$133K - $175K/yr

  • Retirement

  • PTO

... as remote patient monitoring. * Conduct discovery-first product work, including stakeholder interviews, workflow analysis, problem definition, solution validation, and prioritization. * Partner ...

Ennoble Care

Actuary

San Francisco, CA · Remote

$150/hr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of ...

Scanhealthplan

Senior Product Manager

Long Beach, CA · Remote

$133K - $175K/yr

  • Retirement

  • PTO

... as remote patient monitoring. * Conduct discovery-first product work, including stakeholder interviews, workflow analysis, problem definition, solution validation, and prioritization. * Partner ...

Eko

Senior Product Manager, Enterprise

Emeryville, CA · Remote

$146K - $193K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with telehealth or remote patient monitoring solutions. * Experience with integration platforms or interface engines (Redox, Rhapsody, etc.). * Experience deploying into IDNs and large ...

Eko

Senior Product Manager, Enterprise

Emeryville, CA · Remote

$179K - $200K/yr

Experience with telehealth or remote patient monitoring solutions. * Experience with integration platforms or interface engines (Redox, Rhapsody, etc.). * Experience deploying into IDNs and large ...

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Evening Remote Patient Monitoring information

What is an evening remote patient monitoring?

An evening remote patient monitoring job involves overseeing patients’ health data during evening hours using digital tools and devices. Professionals in this role track vital signs, symptoms, and other health metrics remotely to ensure patients are stable and to identify any concerns that require intervention. These roles are typically part of a healthcare team and help provide continuous care for patients outside of traditional office hours. Evening shifts help cover times when patients may need extra support, such as after regular clinic hours, improving patient outcomes and responsiveness.

What are the key skills and qualifications needed to thrive as an evening remote patient monitoring professional?

To thrive in Evening Remote Patient Monitoring, you need a background in healthcare, strong clinical assessment abilities, and relevant licensure such as RN or LPN. Familiarity with remote monitoring platforms, telehealth software, and electronic health records (EHRs) is typically required. Excellent communication, attention to detail, and the ability to work independently during evening shifts are standout soft skills for this role. These skills are crucial for promptly identifying patient issues, providing timely interventions, and ensuring continuous quality care outside traditional clinical hours.

What are some common challenges faced in an evening remote patient monitoring role, and how can they be managed?

In an evening remote patient monitoring role, one common challenge is effectively communicating with patients and care teams outside of regular business hours. This can mean coordinating interventions when resources or immediate support may be more limited. Additionally, monitoring patients remotely requires strong attention to detail and the ability to quickly identify and escalate any concerning data trends. To manage these challenges, it's important to have clear protocols, stay organized, and utilize digital tools for seamless documentation and communication with day-shift colleagues.

What is the difference between Evening Remote Patient Monitoring vs Evening Telehealth Nurse?

AspectEvening Remote Patient MonitoringEvening Telehealth Nurse
CredentialsRN license, certification in remote monitoringRN license, telehealth certification
Work EnvironmentHome-based, monitoring devices, data reviewHome or clinical setting, patient communication via video/phone
Employer & IndustryHospitals, telehealth companies, home health agenciesHospitals, clinics, telehealth providers

Both roles require RN licensure and involve patient care, but Evening Remote Patient Monitoring focuses on reviewing data from remote devices, while Evening Telehealth Nurse involves direct patient communication and assessments. The roles often overlap in telehealth settings but differ in daily tasks and focus areas.

What are the most commonly searched types of Remote Patient Monitoring jobs in California?

The most popular types of Remote Patient Monitoring jobs in California are:

What are popular job titles related to Evening Remote Patient Monitoring jobs in California?

For Evening Remote Patient Monitoring jobs in California, the most frequently searched job titles are:

What job categories do people searching Evening Remote Patient Monitoring jobs in California look for?

The top searched job categories for Evening Remote Patient Monitoring jobs in California are:

What cities in California are hiring for Evening Remote Patient Monitoring jobs?

Cities in California with the most Evening Remote Patient Monitoring job openings:

Evening Remote Patient Monitoring jobs near you

2026 Fall Intern, Digital Health Algorithms

Samsung Research America Internship

Mountain View, CA • On-site, Remote

Internship

Posted 10 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 Ph.D. candidates with solid ML/AI/GenAI technology background and digital health-related research project experiences in multi-modal physiological health algorithm development, large-scale wearable data analytics, and physiological signal processing. By leveraging smartphones, wearables, and hearables in health/wellness domain, your work will significantly benefit real-world consumers, patients, the elderly, physicians, and caregivers.

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: 

  • You will work with an experienced digital health algorithm research team to develop novel and disruptive algorithms towards digital health services and solutions.
  • Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
  • Work with large-scale time-series datasets to train and fine-tune ML/DL models using AWS AI services, ensuring scalability and efficiency.
  • Contribute to the development of novel AI methodologies to address complex healthcare challenges.

Required Skills: 

  • Currently pursuing PhD degree in computer science, electrical engineering, biomedical engineering or related areas
  • Solid coding skills with prototyping experience in AI model development, data science, and machine learning
  • Experience in physiological signal processing, large-scale time-series data analytics in digital health domain
  • Strong knowledge and experience in developing AI/ML foundation models and their finetuning approaches
  • Programming using languages such as Python, R, C/C++, Java, Android
  • Experience with cloud infra services like AWS, SageMaker Studio, GCP, SQL, and collaboration tools like github
  • Good communication/presentation skills and teamwork/collaboration spirit
  • Publication in top-tier journals and conferences

This position is open to candidates who are legally authorized to work in the United States.

Apply