Clinical Research Scientist

About us

We're a London-based neurotech startup developing non‑invasive devices to treat brain disorders using ultrasound. We've developed a category defining technology platform, and we're now scaling our team to bring this technology to patients faster.

More than a billion people live with a brain disorder, and for many of them today's options are not good enough. Drugs work for some and fail others, often with serious side effects. Surgical treatments like deep brain stimulation are effective but invasive, and only available to a small fraction of those who could benefit. Non‑invasive alternatives like TMS exist but can only reach the surface of the brain.

Our platform makes it possible to focus ultrasound precisely on deep brain structures — non‑invasively, safely, and repeatedly. We think that changes what's possible in brain therapeutics.

We build medical devices for people from every walk of life, and we believe our team should reflect the patients we serve. We strongly encourage applications from women, people from Black, Asian and minority ethnic backgrounds, and others underrepresented in neurotechnology. Different perspectives genuinely make our products better.

We're hiring a Clinical Research Scientist to design and run human studies that underpin our technology — both healthy volunteer studies and clinical studies in patient populations, running in parallel. You'll be an early research hire on the human‑studies side, working closely with our Medical Director and the wider engineering and science team.

This is a hands‑on scientist role, not a clinical operations or oversight one. You'll own the full research process: from designing protocols and writing ethics applications, through recruiting participants and running sessions yourself, to acquiring, analysing and interpreting the data — and then turning it back into the next study and the next device improvement.

Brain data is central to what we do: most of our studies involve EEG and other neuroimaging modalities, and we need someone who can stand up that data collection from scratch and get clean, defensible recordings.

• PhD in Clinical Neuroscience, Neuroscience, Cognitive Neuroscience, Psychology, Biomedical Engineering, or a closely related field
• Hands‑on experience designing and running human studies end‑to‑end, protocol through to analysis.
• Strong study design fundamentals, e.g., endpoints, power calculations, randomisation, controls, blinding
• Experience with ethics applications (IRAS/REC, or the equivalent in another jurisdiction)
• Hands‑on EEG experience: setup, recording, artefact handling, and signal processing — you can run a session yourself and get clean data out of it
• Experience with at least one other brain‑data modality (e.g. fMRI, fNIRS, MEG) or rich behavioural / physiological data
• Statistical analysis on real datasets — hypothesis testing, mixed models, working with messy human data
• Scientific writing strong enough for protocols, ethics applications, and regulatory documents
• Comfortable owning data collection yourself: running sessions, working with participants, troubleshooting equipment

You might be fresh out of your PhD or a few years post‑doc / industry; what matters is that you've run studies end‑to‑end and know what it takes to get from question to robust, defensible data.

• Background in cognitive neuroscience, including computational or theoretical modelling of brain function
• Experience with non‑invasive brain stimulation (TMS, tDCS, focused ultrasound, etc.)
• Experience with MHRA clinical investigation applications for medical devices, or equivalent regulatory submissions in other jurisdictions
• Experience working within regulatory frameworks (UK MDR, EU MDR, FDA, or equivalent)
• Publication record demonstrating ability to design and execute rigorous studies
• Experience recruiting and working with clinical patient populations
• Proficiency with Python, MATLAB, or R for analysis pipelines

• Designing healthy volunteer studies that move the science forward and de‑risk our technology
• Designing clinical study protocols for patient populations
• Writing and submitting ethics…