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Tech Stack
Tools & technologiesJavaScriptNoSQLPythonSQLTypeScript
About the role
Key responsibilities & impact- Drive effective session orchestration and lead the implementation of our Evidence-Based Intervention Library.
- Develop AI features tailored for product retention and engagement.
- Implement features involving expectation setting, gamification, and reinforcement learning for the personalization of care.
- Optimize our recovery data collection processes, focusing on the methods, timing, and predictive modelling of PHQ-9s.
- Provide occasional analysis and modelling support for additional clinical research projects.
Requirements
What you’ll need- You must meet one of the following educational and experience backgrounds:
- A PhD in Computational Psychiatry or a related field, coupled with demonstrated industry experience in Data Science, Product, or ML engineering.
- OR A BSc/MSc in a Computational Psychiatry related field (research focus) plus 2 years of experience in ML engineering or Data Science within an Engineering/Product Development environment.
- Proficiency in either Python or Typescript/Javascript.
- An expert approach to hypothesis-driven work, with a track record of balancing product development with scientific rigour.
- Experience in Eval-driven-development.
- Experience using Machine Learning in a production environment or via high-impact scientific publications (e.g., predictive modelling, reinforcement learning).
- Experience modelling text/language data, including building LLM classifiers and using vector-based methods.
- Experience modelling longitudinal data and working with databases (SQL or NoSQL).
- A strong understanding of evidence-based mental health care (such as Cognitive Behavioural Therapy) and a deep interest in the causal mechanisms that drive therapeutic benefit.
- Proficiency with version control systems, preferably Git.
- Ideal but not required: Experience building an LLM agent harness.
- The ability to work from our London (Spitalfields) office on Tuesdays and Thursdays, with the flexibility to work remotely or from the office on other days of the week.
- Please note: Limbic cannot provide visa sponsorship.
Benefits
Comp & perks- Competitive salary and equity share options.
- An amazing office in central London (Spitalfields) for our collaborative team days on Tuesdays and Thursdays, paired with a flexible/hybrid working model on Mondays, Wednesdays, and Fridays.
- 25 days PTO plus bank holidays.
- Company pension scheme (UK).
- Enhanced parental leave packages (UK).
- Support with purchasing work-related books and materials.
- Quarterly Life Days: Enjoy 4 paid days off per year (one each quarter) to use whenever you choose to relax, recharge, or take care of personal matters.
- Mental Health Support: Access to dedicated mental health support services.
ATS Keywords
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Hard Skills & Tools
PythonTypescriptJavascriptMachine LearningPredictive ModellingReinforcement LearningEval-driven-developmentText/Languages Data ModellingLongitudinal Data ModellingDatabase Management
Soft Skills
Hypothesis-driven workProduct DevelopmentScientific Rigor
Certifications
PhD in Computational PsychiatryBSc in Computational PsychiatryMSc in Computational Psychiatry