Neuroscientist

Netholabs Ltd.; Brighton; Sur place; GBP 60 000 - 90 000; Plein temps

Résumé du poste

Netholabs Ltd. in Brighton is seeking a Neuroscientist to join our on-site team as an independent contributor. You will design and run in vivo electrophysiology and behavioural experiments, work with large-scale neural datasets, and partner with our ML team to translate findings into model designs.

The role emphasizes rigorous experimental design, strong data analysis, and cross-functional collaboration with engineering and ML groups, to push forward next-generation foundation models.

Qualifications

• BSc/MSc in neuroscience or related field with hands-on experimental research.
• PhD and in vivo electrophysiology experience preferred.
• Strong data analysis skills and Python proficiency.
• Able to design rigorous experiments and assess data quality.
• Excellent communication; cross-functional collaboration with ML teams.

Responsabilités

• In Vivo Electrophysiology & Neural Recording: Design and run in vivo electrophysiology experiments in animal models.
• Behavioural Neuroscience & Experimental Design: Design behavioural paradigms and oversee data collection with technicians.
• Data Analysis & Computational Modelling: Analyse large-scale neural and behavioural datasets; build computational models.
• Neuroscience AI Translation: Collaborate with ML team to translate findings into model design choices.

Connaissances

Python

Data analysis

Experimental design

Cross-functional collaboration

Scientific communication

Formation

BSc/MSc in neuroscience or related field

PhD (preferred)

Outils

Neural recording rigs

Computational modelling

Description du poste

Type: Full-time
Location: University of Sussex, Brighton - On-site

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