Neuroscientist

Netholabs Ltd.; Brighton; Hybrid; GBP 48,000 - 58,000; Full time

Job summary

Netholabs Ltd. in Brighton is seeking a Neuroscientist to join our on-site team at the University of Sussex, driving experiments from design through analysis.

You will run in vivo electrophysiology and behavioural experiments, work with large neural and behavioural datasets, and collaborate with our ML team to translate findings into better foundation models. This role emphasizes independence, rigorous data quality, and clear communication with engineering and ML colleagues to advance our

Qualifications

• Hands-on experimental research experience in neuroscience or related field.
• BSc/MSc in neuroscience or related field; PhD preferred.
• Strong data analysis skills; Python or similar language.
• Ability to design rigorous experiments and assess data quality.
• Excellent communication; collaborate with engineering and ML teams.

Responsibilities

• Design and run in vivo electrophysiology experiments in animal models.
• Develop and refine neural recording protocols and rigs with hardware team.
• Design behavioural paradigms and oversee data collection with technicians.
• Analyse large-scale neural and behavioural datasets; build computational models.

Skills

Python

Experimental design

Data analysis

Cross-functional comms

Independent contributor

Education

BSc/MSc in neuroscience or related

PhD (preferred)

Tools

Python

Neural recording rigs

Job description

Type: Full-time
Location: University of Sussex, 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

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/MSc in neuroscience, behavioural sciences, or a related field, with hands-on experimental research experience.
• Preferred: PhD and 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