5 of 5 Remote Neuroscience Jobs in the South East

research support and data curation services to the NHS for free, in order to support mental health provision, service improvement and improved patient outcomes across our network. Our Precision Neuroscience Initiative – GlobalMinds – is creating the UK’s largest biobank of patients with mental health conditions to transform research and alleviate disease burden in this area of critical unmet medical needs. More ❯

research support and data curation services to the NHS for free, in order to support mental health provision, service improvement and improved patient outcomes across our network. Our Precision Neuroscience Initiative – GlobalMinds – is creating the UK’s largest biobank of patients with mental health conditions to transform research and alleviate disease burden in this area of critical unmet medical needs. More ❯

Senior Data Engineer – AI & Neuroscience Location: London (Hybrid, Kings Cross) or San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning … Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will be responsible for building robust, production-grade systems that handle multi-omic, neuroscience, and clinical datasets at scale. Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological data. Key Responsibilities … Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale More ❯

Senior Data Engineer – AI & Neuroscience Location: London (Hybrid, Kings Cross) or San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning … Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will be responsible for building robust, production-grade systems that handle multi-omic, neuroscience, and clinical datasets at scale. Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological data. Key Responsibilities … Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale More ❯

Senior Data Engineer – AI & Neuroscience Location: London (Hybrid, Kings Cross) or San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning … Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will be responsible for building robust, production-grade systems that handle multi-omic, neuroscience, and clinical datasets at scale. Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological data. Key Responsibilities … Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale More ❯