Signal Processing Research Engineer - Healthcare AI & Embedded

Circadia Health; Greater London; On-site; GBP 70,000 - 105,000; Full time

Benefits offered by this job

Stock options

Medical coverage (100%)

Paid time off

Retirement plan

Job summary

Circadia Health is seeking a Signal Processing Research Engineer to turn raw sensor data into clinically meaningful measurements. You’ll work from research through validation on clinical data to deployment on embedded devices in a shipping product, partnering with hardware and software teams.

Required MSc/PhD in signal processing or related field, strong core signal processing skills, and track record of deploying algorithms in real products using biosignals or physiological data.

Qualifications

• MSc or PhD in signal processing or related field.
• Strong, demonstrable expertise in signal processing as the core of the role.
• Industry work experience as an algorithm or signal processing engineer with deployed results.

Responsibilities

• Develop novel signal processing algorithms for Circadia's contactless monitoring system (radar and other sensors).
• Research signal processing techniques—and ML where useful—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 in shipping products.
• Collaborate with Product, Clinical Research and Engineering teams to align on requirements and report progress.

Skills

Signal processing

Embedded systems

Communication

Education

MSc/PhD in signal processing

Job description

Circadia Health is seeking a Signal Processing Research Engineer to turn raw sensor data into clinically meaningful measurements. You’ll work from research through validation on clinical data to deployment on embedded devices in a shipping product, partnering with hardware and software teams.

Required MSc/PhD in signal processing or related field, strong core signal processing skills, and track record of deploying algorithms in real products using biosignals or physiological data.