Limbic develops clinically validated AI software for mental healthcare. Its products, Limbic Access and Limbic Care, support patient intake, triage and diagnostic workflows, and provide CBT-style therapy through an AI companion. The platform connects with electronic health record systems and serves health plans, behavioral health providers and health systems. Limbic’s work sits at the intersection of healthcare, artificial intelligence and SaaS, with a focus on regulated clinical use, privacy and security.
Senior AI Researcher, LLMs and Mental Health
Advance LLM-based mental health therapy research at Limbic, whose AI supports NHS Talking Therapies and patients worldwide. Conduct research, run experiments, and help develop clinically evaluated products.
Opis
- Apply advanced machine learning methods to improve patient outcomes and care trajectories
- Use existing data to identify meaningful representations of mental health
- Investigate causal mechanisms associated with recovery in mental health conversations
- Model mental health outcomes over time and develop intervention recommendation systems
- Design and conduct rigorous studies to validate methods, then publish findings in leading peer-reviewed journals
- Lead patent applications to protect intellectual property
- Partner with clinical research and machine learning engineering teams to develop product-ready, clinically evaluated tools
- Improve products through experimentation, iterative development, testing, and optimisation
- Turn complex scientific challenges into practical, high-impact solutions
- Mentor junior scientists and colleagues
- Present research findings at internal and external scientific meetings and events
Zahteve
- PhD in computational science or an AI-related discipline, plus at least two years as a postdoctoral AI researcher
- Strong AI research publication record in leading conference proceedings or peer-reviewed journals
- Expertise in LLM research and methods development
- Experience with deep neural networks and machine learning
- Expert proficiency in Python, TypeScript, or a related programming language
- Experience analysing large language datasets, extracting features, and building predictive models
- Experience with reinforcement learning and model fine-tuning, such as RLHF or RLAI
- Strong grasp of statistical methods for LLM evaluation and user activity analytics
- Proficiency with version control, preferably Git, and SQL or NoSQL databases
- Practical experience with a major cloud platform (AWS, GCP, or Azure) and Docker is desirable
- Ability to work from the London (Spitalfields) office on Tuesdays and Thursdays
- Skilled worker visa sponsorship may be available
Ugodnosti
- 29 days of annual leave, comprising 25 regular days and 4 Quarterly Life Days, plus UK bank holidays
- Access to mental health support
- Company-wide meetups
- Generous parental leave package
- Full reimbursement for work-related books and materials
- Flexible remote working
- Free gym sessions
- Social events
- Guest speaker events