Signal Processing Research Engineer
About the job
- A Master of Science or PhD in signal processing, electrical engineering, biomedical engineering, or a related field.
- Strong, demonstrable expertise in signal processing.
- Industry work experience as an algorithm or signal processing engineer beyond academic research.
- A track record of building algorithms deployed in real products, rather than solely offline processing of research datasets.
- Experience working with biosignals or physiological sensor data.
- Experience with sensor characterization and configuration.
- Ability to work across the research-to-deployment path, including implementing algorithms on embedded or constrained devices.
- Ability to communicate clearly across research, clinical, and engineering teams.
- Develop novel signal processing algorithms for the contactless monitoring system using radar and other sensors.
- Research signal processing techniques and, where useful, machine learning to extract clinically relevant features from sensor data.
- Process data from clinical studies to develop and validate product features.
- Prepare algorithm documentation for regulatory compliance and intellectual property protection.
- Implement algorithms for execution on embedded devices.
- Work with the Product, Clinical Research, and Engineering teams, including Algorithms, Data Science, Electronics, and Firmware, to align on requirements.
- Provide regular progress updates and reports to management.
- Familiarity with machine learning or experience combining signal processing and machine learning approaches.
- Experience with radar or other contactless sensing.
- Familiarity with medical device regulatory requirements or experience working in a regulated environment.
About the company
Circadia Health offers AI-powered contactless patient monitoring for senior care using a radar bedside device to measure respiratory rate, heart rate, motion, and bed exits from up to eight feet away without touching the patient. Its proprietary AI analyzes the data to predict potential medical events hours or days in advance, with 24/7 virtual nurses reviewing alerts and integrating with electronic health records. The service runs on a subscription model for skilled nursing facilities and long-term care providers, and is designed to help reduce hospitalizations and lower costs, with Medicare remote monitoring reimbursement. Its approach combines non-contact radar sensing, multi-parameter monitoring, FDA-cleared devices, and end-to-end service focused on long-term care to shift from reactive to proactive care.
Company Size
51-200
Company Stage
N/A
Total Funding
$100.2M
Headquarters
London, United Kingdom
Founded
2016
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Simplify's Take
What believers are saying
- CMS selected Circadian Health for ACCESS in April 2026, widening Medicare specialty exposure.
- Ciena's 77-facility partnership and 25% rehospitalization target validate buyer demand.
- FDA cleared C300 in February 2026, extending Circadia's addressable monitoring use cases.
What critics are saying
- CMS ACCESS selection in April 2026 signals care-model breadth, not durable device demand.
- Circadia's remote monitoring economics rely on Medicare RPM billing and facility adoption cycles.
- A single FDA safety, reimbursement, or false-alert setback can stall senior-care expansion.
What makes Circadia Health unique
- FDA-cleared C200 and C300 monitor respiration, heart rate, motion, and bed exits contactlessly.
- Virtual nurses review alerts 24/7, combining radar data with EHR trends for escalation.
- Circadia integrates with skilled nursing workflows and PointClickCare, targeting avoidable rehospitalizations.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Mental Health Support
Wellness Program
401(k) Retirement Plan
Paid Vacation
Hybrid Work Options
Conference Attendance Budget
Professional Development Budget
Gym Membership