Remote Clinical Engineer Jobs
Remote clinical engineer jobs are open across the U.S. at remote-first firms, distributed healthtech teams, and large health systems with decentralized operations. Employers actively hiring remote clinical engineers right now include OrganOx, Tendo, and OpenLoop, with strong demand concentrated in {{top_industries_phrase}}. Scan the live roles below and apply to whichever ones fit.
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The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:
Measure provider-level clinical quality from claims data.
Analyze the relationship between quality, price, and market share for health procedures.
Identify missing comorbidities from EHR patient records.
This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo’s marketplace growth. Under Tendo’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.
About Tendo
Make an impact—join our team!
We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Salt Lake City, UT
Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Tendo may consider candidates located in any one of our hub locations.
Responsibilities
Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power Tendo’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.
Requirements
Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
Deep expertise in U.S. healthcare quality measurement and performance frameworks, including nationally recognized programs such as CMS Star Ratings, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models.
Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
Experience working with large, complex healthcare datasets and translating data into meaningful products, insights, or analytics.
Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products.
Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.
Nice to Have
Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
Familiarity with payer, provider, and employer data integration and reporting needs.
Understanding of value-based care, reimbursement models, and healthcare economics.
Experience working with EHR systems and clinical informatics teams in a product capacity.
Base Salary Range
$131,750 - $178,250
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:
Measure provider-level clinical quality from claims data.
Analyze the relationship between quality, price, and market share for health procedures.
Identify missing comorbidities from EHR patient records.
This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo’s marketplace growth. Under Tendo’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.
About Tendo
Make an impact—join our team!
We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Salt Lake City, UT
Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Tendo may consider candidates located in any one of our hub locations.
Responsibilities
Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power Tendo’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.
Requirements
Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
Deep expertise in U.S. healthcare quality measurement and performance frameworks, including nationally recognized programs such as CMS Star Ratings, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models.
Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
Experience working with large, complex healthcare datasets and translating data into meaningful products, insights, or analytics.
Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products.
Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.
Nice to Have
Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
Familiarity with payer, provider, and employer data integration and reporting needs.
Understanding of value-based care, reimbursement models, and healthcare economics.
Experience working with EHR systems and clinical informatics teams in a product capacity.
Base Salary Range
$131,750 - $178,250
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See All 10 Remote Clinical Engineer Jobs
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Find Remote Clinical Engineer JobsRemote Clinical Engineer Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote clinical engineer jobs.
- Bachelor's degree in biomedical, electrical, or mechanical engineering or a related field
- Experience with preventive maintenance and repair of clinical and biomedical equipment
- Knowledge of Joint Commission, FDA, and healthcare regulatory compliance standards
- Proficiency with computerized maintenance management systems and medical device databases
- Certified Clinical Engineer (CCE) or Certified Biomedical Equipment Technician (CBET) credential
- Strong communication skills for collaborating with clinical staff, vendors, and administration
Tips for Your Remote Clinical Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote clinical engineer openings from across the U.S. in one place. Search roles by specialty or region, then apply directly to the ones that match your background before competition builds.
Show your async communication skills
Remote clinical engineering teams depend on clear written handoffs and documentation. Highlight experience writing technical reports, service logs, or equipment validation records that others can act on without a follow-up call.
Prove self-directed troubleshooting ability
Remote employers want engineers who can diagnose complex clinical equipment issues independently. During interviews, walk through a real example where you resolved a technical problem without in-person support, naming the systems involved and how you reached a resolution.
Get fluent in remote clinical tools
Comfort with CMMS platforms, remote access software, and digital compliance workflows signals readiness for distributed teams. If you've used these systems, name them explicitly in your application materials so hiring managers can verify your fit quickly.
Remote Clinical Engineer Jobs: Frequently Asked Questions
How do I get a remote clinical engineer job?
Target companies with distributed clinical or biomedical teams, such as healthtech software firms, medical device companies with remote field support models, and telehealth platforms. Remote employers screen heavily for self-directed work habits, clear written communication, and the ability to troubleshoot complex systems without in-person backup. Demonstrating remote project experience, async documentation skills, and familiarity with CMMS platforms or regulatory compliance workflows gives you a real edge.
Which companies hire remote clinical engineers?
Employers currently hiring remote clinical engineers include OrganOx, Tendo, and OpenLoop, per current remote listings on Migrate Mate as of November 2026. These tend to be remote-first healthtech firms, distributed medical device companies, and large hospital systems with centralized technical teams supporting facilities across multiple regions.
Can you get a remote clinical engineer job with no experience?
Yes, but remote entry-level clinical engineer roles are harder to land because employers expect you to troubleshoot and make decisions independently from day one. Smaller healthtech startups and medical device companies occasionally hire remote juniors who can demonstrate hands-on lab work, relevant coursework, or personal projects involving biomedical equipment. A strong portfolio of technical documentation or virtual simulation work helps fill the experience gap.
Do you need a degree for remote clinical engineer jobs?
Usually, but the degree requirement varies by employer. Most remote clinical engineer postings expect at minimum a bachelor's degree in biomedical, electrical, or mechanical engineering. Some employers weigh demonstrated skills, clinical equipment certifications, and verifiable project outcomes alongside formal credentials, particularly at smaller remote-first firms where practical ability to perform independent technical work matters more than the specific institution.
See All 10 Remote Clinical Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Clinical Engineer Jobs