Neuroscientist
Netholabs · Brighton
Job description
Type: Full-time Location: Brighton — On-site Compensation: £48,000–£58,000/year, in accordance with experience
The Role
Netholabs is building AI grounded in biological intelligence. We record petascale, high-resolution neurobehavioural data from living systems and use it to train neural foundation models — a new substrate for the next generation of AI, robotics, and personalised intelligence. We aim to greatly reduce the burden of animals used in basic scientific research and pharmacological work, with eventual removal and replacement by in silico models.
We're looking for a Neuroscientist to join our Brighton research team as an independent contributor driving experiments from design through analysis. You'll design and run in vivo electrophysiology and behavioural experiments, work with large-scale neural and behavioural datasets, and partner closely with our ML team to translate what we learn about real brains and bodies into better foundation models. This is a role for someone who wants their science to feed directly into what gets built next.
Responsibilities
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In Vivo Electrophysiology & Neural Recording
Design and run in vivo electrophysiology experiments in animal models
Develop and refine neural recording protocols and rigs alongside the hardware team
Ensure recordings meet the quality and fidelity standards our models are trained on
Behavioural Neuroscience & Experimental Design
Design behavioural paradigms that generate rich, well-controlled datasets
Plan and oversee data collection sessions, in collaboration with technicians
Iterate on experimental design based on data quality and downstream modelling needs
Data Analysis & Computational Modelling
Analyse large-scale neural and behavioural datasets
Build and apply computational models to characterise neural and behavioural dynamics
Validate findings and communicate results clearly to the broader research team
Neuroscience → AI Translation
Partner with the ML team to translate biological findings into model design choices
Help define what neurobehavioural data and features are most valuable to capture
Contribute to internal research direction connecting neuroscience and foundation model development
Requirements
Core (essential)
BSc in neuroscience, behavioural sciences, or a related field, with hands-on experimental research experience
Preferred: experience with in vivo electrophysiology and behavioural neuroscience experiments
Strong data analysis skills, including experience with Python or a similar language
Able to design rigorous experiments and think critically about data quality
Excellent communication; comfortable working cross-functionally with engineering and ML teams
Valued (or willing to learn)
Experience with large-scale or multi-modal neurobehavioural datasets
Familiarity with machine learning fundamentals or foundation model training
Experience with computational modelling of neural or behavioural data
Prior work bridging neuroscience and AI/robotics research
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