Early application is encouraged as applications will be reviewed on a rolling basis
About the company
Healthcare systems globally are facing significant pressures, and epilepsy is a case-study of those challenges. More than 630,000 people in the UK live with the condition. Over 70% of routine EEGs are clinically inconclusive, and the average time to diagnosis is longer than a year. That leaves people waiting, and clinicians deciding without the evidence they need.
We built BioEP to close that gap. It analyses background activity in a routine EEG using eight predefined features drawn from peer-reviewed computational neuroscience, returning an objective rating in under five minutes. It works when nothing abnormal is visible, so it supports a decision precisely where conventional reading runs out. Our method is deterministic and explainable, not a black box or deep learning tool.
BioEP is UKCA-marked and has been validated across 15 NHS sites and more than 6,000 recordings. In June 2026 we raised £3M, co-led by Empirical Ventures and The FSE Group. That investment takes us through our FDA submission this year, extends BioEP into paediatrics and prognosis, and funds research on our next indication: traumatic brain injury.
Founded in 2018 Neuronostics has grown rapidly in the years since. In 2024 our international potential was recognised when we won the Epilepsy Foundation of the USA Shark Tank competition and with it a $125K prize. We've established transformative partnerships with leading industry players: Stratus Neuro (the leading US EEG services provider with 600+ hospital systems), Nervus (UK EEG services), and Neuroelectrics (advanced EEG hardware), creating immediate distribution channels and market access.
About the role
This role suits a graduate, junior or early-career engineer with strong fundamentals. You will work across the stack in Python and Django, HTMX, Postgres and AWS, turning well-scoped problems into reliable product features and helping take code from our science team into software that clinicians use. We treat AI tooling as part of everyday engineering and want someone keen to get better at using it well and to share that knowledge with others in the team. Curiosity, clear questions and care for readable, well-tested code count for more here than years served.
In this role you will:
- Work within the tech team to understand requirements and turn well-scoped problems into reliable product features.
- Hands on engineering, developing features across the whole stack with support and guidance from more experienced engineers.
- Use AI tooling thoughtfully and effectively to accelerate development, explore solutions, improve code quality and learn quickly.
- Take scientific code from our science team and help turn it into robust software that can get into customers' hands.
- Collaborate across the company and with end users to understand the problems you're solving.
- Continuously build your engineering judgement through code review, pairing, testing and feedback.
Current technology stack:
- Python (Django, NumPy)
- HTMX, JS
- Postgres
- AWS + Docker
- Terraform
- Testing with Pytest & Playwright
- CI/CD through GitHub and GitHub Actions
- AI coding tools such as Codex, Cursor, Claude Code, GitHub Copilot or similar
About you
- You want to use technology to have a positive impact on people's lives.
- You're a motivated and capable graduate, junior or early-career engineer with strong software fundamentals.
- You're curious, coachable and willing to learn from more experienced engineers.
- You're comfortable using AI tools as part of your everyday engineering workflow and interested in getting better at using them.
- You're able to break problems down, ask clear questions and communicate what you are thinking.
- You're pragmatic and keen to learn which details need careful analysis now and which can be contained and revisited.
- You're comfortable reading unfamiliar code and using documentation, tests and AI tools to build your understanding.
- You care about writing clear, maintainable and well-tested software.
- (bonus) You have worked on personal, academic, commercial or open-source projects that use AI tooling to build something substantial.
- (bonus) You have experience with web applications, data-heavy products or scientific software.
What we can offer
- A role with genuine scope to shape a growing digital MedTech company and its products.
- A flexible working model that lets you work when you are most productive.
- A salary set according to experience, plus a performance bonus and the potential for share options.
- Company pension scheme: you contribute 2% and the company 7% on qualifying earnings.
- 25 days annual leave, plus public and bank holidays, plus an extra day off for your birthday.
- A collaborative environment where curiosity and initiative are encouraged and rewarded.
- A team combining scientific, clinical, technical and commercial expertise.
- Access to ongoing professional development.
- Regular staff events and company away days.
We work a hybrid model, blending time in the office with time at home. We expect regular time together in Bristol: a minimum of two days per week (with more desirable). We are based at Science Creates, a stone’s throw from Bristol Temple Meads Station.
How to apply
We would encourage you to get in touch early for an informal conversation about any of these roles. Contact recruitment@neuronostics.com to arrange this.
When you are ready to apply, send a CV and a covering letter setting out how your skills, experience and career plans fit what we are looking for, via the 'Apply' button above (E: recruitment@neuronostics.com).
Applications will be considered on a rolling basis until the position is filled.
Competitive