Lead Data and Signal Processing Engineer

Lead Data and Signal Processing Engineer
Salary:  £60,000 – £70,000, depending on experience

Location:

Science Creates St Philips, Bristol
Working pattern:  Full time, 37.5 hours per week, on-site
Expected start date:  ASAP
About Us
Carbometrics is a Bristol-based chemistry company designing highly selective binding molecules for sensors used in hospitals, medical devices, bioprocessing and industry. Our mission is to help people with diabetes and other conditions live longer, more comfortable lives through improved real-time monitoring of key analytes such as glucose.
Built on over 20 years of research from Professor Anthony Davis' group at the University of Bristol, our Biomimetic Glucose Binding Molecules (GBM) underpin a glucose sensing platform enabling a market-leading Continuous Glucose Monitor (CGM). The same technology, developed through our predecessor company Ziylo, was acquired by Novo Nordisk for smart insulins. We have since added potassium, lactate, pH, CO2 and calcium, building toward the most comprehensive continuously monitored sensor array for medical use.

Role Overview
We are searching for a Lead Data and Signal Processing Engineer to lead development of the pipeline that converts raw optical sensor measurements into reliable analytical results.
You will develop algorithms from initial investigation of experimental data through to implementation in product and instrument software, separating sources of variability such as noise, environmental effects, sensor-to-sensor variation and transient artefacts.
You will also develop tools for analysing our growing calibration and QC datasets and improve how data is visualised. The role focuses on algorithms, not full product software or user interface ownership.
This is a hands-on technical leadership role. It does not initially carry line-management responsibility, but as the company grows there will be an opportunity to build and lead a team.
What You'll Be Doing

Core responsibilities:

•
Architect and develop a robust pipeline converting raw sensor measurements into reliable analytical outputs •

Develop and evaluate filtering and noise-removal methods, separating signal from instrument noise and artefacts •

Develop signal correction and bias compensation for temperature, dilution, pH, sensor variability and other environmental or physiological factors •

Develop methods for detecting changes, transitions and abnormal behaviour, including change-points, bubbles and flow artefacts •

Develop calibration, linearisation and conversion of sensor measurements into analyte concentrations •

Assess the performance and limitations of each pipeline stage and the complete system, characterising performance across sensors, concentrations, temperatures and sample conditions •

Use experimental data to decide which correction approaches are appropriate, rather than one model for unrelated sources •

Turn experimental observations into practical algorithms and models, working with scientists and engineers •

Establish reproducible approaches to data processing and algorithm development, and take technical ownership of the data and signal-processing aspects of sensor development

Additional responsibilities: •
Support development of software interfaces and LabVIEW-based data-acquisition software for operating and monitoring instrumentation and sensors •

Develop real-time visualisation of measurements and system status for demonstrations, partner evaluations and experiments •

Investigate practical applications of statistical modelling and machine learning on existing calibration, QC and experimental data •

Support the wider team in using data-analysis, software and AI-assisted tools •

Contribute to experimental design to help distinguish between competing hypotheses •

Help…