Circadia Health

AI-powered contactless vital signs monitoring

Signal Processing Research Engineer

Electrical EngineeringConfirmed live in the last 24 hours

Full-timeLondon, UK£70k - £105k /yr

About the Job

Requirements

A Master of Science or PhD in signal processing, electrical engineering, biomedical engineering, or a related field is required.
Strong, demonstrable expertise in signal processing is required.
Industry work experience as an algorithm or signal processing engineer beyond academic research is required.
A track record of building algorithms deployed in real products, rather than solely offline processing of research datasets, is required.
Experience working with biosignals or physiological sensor data is required.
Experience with sensor characterization and configuration is required.
Ability to implement algorithms on embedded or constrained devices is required.
Ability to communicate clearly across research, clinical, and engineering teams is required.

Responsibilities

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 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.

Desired Qualifications

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.

Salary Range: 70000 to 105000 (Currency: GBP) (Pay period: per-year-salary)

About Circadia HealthCircadia Health is a growth-stage healthcare harwdare & AI company on a mission to prevent avoidable hospitalizations and transform senior-care operations. Our AI Care System combines:

Contactless sensing that monitors respiration and motion with medical-grade accuracy — powered by our own in-house-designed monitoring devices, developed from the radar hardware up
Native predictive models that detect 85% of preventable adverse events several days in advance
Enterprise integrations that operationalize predictions directly inside EHR, care-coordination, billing, and compliance workflows

Today, our technology touches 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks. Because we build our own sensing hardware and the algorithms that run on it, our signal processing work reaches from raw radar waveforms all the way to clinical decisions. We are backed by leading healthcare and AI investors, with offices in Los Angeles and London.

About the Role

We're looking for a research engineer with deep signal processing expertise to develop the algorithms that turn raw sensor data into clinically meaningful measurements. You'll work across the full path from research to deployment — from novel algorithm development through validation on clinical data to implementation on embedded devices in a shipping product, in close collaboration with the team designing our sensing hardware.

What you'll do

Develop novel signal processing algorithms for Circadia's contactless monitoring system (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 IP protection

Implement algorithms for execution on embedded devices

Work with the Product, Clinical Research and Engineering teams (Algorithms, Data Science, Electronics, Firmware) to align on requirements

Provide regular progress updates and reports to management

About you

MSc or PhD in signal processing, electrical engineering, biomedical engineering, or a related field

Strong, demonstrable expertise in signal processing — this is the core of the role

Industry work experience as an algorithm or signal processing engineer (beyond academic research)

A track record of building algorithms that have been deployed in real products — not solely offline processing of research datasets

Experience working with biosignals or physiological sensor data

Experience with sensor characterization and configuration

Comfortable across the research-to-deployment path, including implementing algorithms on embedded/constrained devices

Able to communicate clearly across research, clinical and engineering teams

Nice to have

Familiarity with machine learning, or experience combining signal processing and ML approaches

Experience with radar or other contactless sensing

Familiarity with medical device regulatory requirements or working in a regulated environment

About the Company

Circadia Health

AI-powered contactless vital signs monitoring

Circadia Health offers AI-powered, contactless patient monitoring for senior care. A bedside radar device tracks respiratory rate, heart rate, motion, and bed exits from up to eight feet away, with its data analyzed by AI to predict health events hours or days in advance; virtual nurses review the signals and provide 24/7 predictive risk alerts, integrated into electronic health records. The system is FDA-cleared (C100 for respiratory rate in 2020 and C200 for heart rate, motion, and bed exit in 2024) and is offered on a subscription basis to skilled nursing facilities and other long-term care providers. Its goal is to move healthcare from reacting to problems toward predicting and preventing deterioration, reducing preventable hospitalizations and care costs while improving senior outcomes.

Company size: 51-200
Company stage: N/A
Total funding: $100.2M
Headquarters: London, United Kingdom
Founded: 2016

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