Senior Research Scientist driving Surgo’s UK Youth Wellbeing Project and executing complex data analyses. Collaborating across disciplines to translate insights into actions for youth mental health.
Responsibilities
Design and oversee the research strategy and analytical roadmap for the UK Youth Wellbeing Project, including survey research, narrative analysis, quantitative modelling, segmentation, and triangulation across data sources.
Identify opportunities to advance the science, in particular leveraging natural language processing (NLP), large language models (LLMs), causal inference, and AI–based methods for analysing both quantitative and qualitative data.
Conduct rigorous literature reviews and lead the development of behavioural-science-informed research instruments, using Surgo’s LLM-powered tools.
Lead high-complexity analyses on mental health, wellbeing, behavioural drivers, and system-level factors affecting UK young people.
Build and validate models for analysing structured and unstructured data.
Apply strong inferential and statistical reasoning to ensure our insights are scientifically sound and grounded in evidence across multiple datasets.
Analyse data generated from conversational AI tools used with young people (e.g., structured dialogues, open-text responses, narrative prompts), ensuring rigorous methodological handling, bias assessment, and validity checks.
Translate analytical outputs into crisp, actionable insights that funders, policymakers, and service providers can understand and use.
Co-develop strategic recommendations based on evidence, showing not just what the data says, but what should happen next.
Produce compelling materials (reports, slide decks, briefs) that elevate evidence while remaining accessible.
Collaborate closely with UK-based partners including funders, public sector organisations, NHS teams, charities, and community groups to ensure insights meet real needs.
Help design co-creation sessions and workshops with young people and stakeholders to stress-test insights and shape implementation.
Support partners in integrating findings into policies, service models, and implementation plans that improve youth wellbeing.
Requirements
4+ years of experience in applied research, public health, mental health, epidemiology, behavioural science, data science, or a related field.
Advanced degree (PhD strongly preferred; Master’s considered with significant experience).
Deep familiarity with the UK youth mental health landscape, including data sources (e.g., NHS Digital, ONS, school and community datasets), key actors, and policy frameworks.
Demonstrated experience working with complex mental health, wellbeing, or behavioural datasets, including survey data, and qualitative or narrative data.
You are highly experienced in R and/or Python, and are experienced in / eager to learn Databricks.
Strong technical and methodological expertise, including research design, measurement, and advanced analytical techniques.
Detail-oriented with excellent research validation skills, able to spot inconsistencies, errors, and methodological gaps.
Able to implement and uphold rigorous scientific processes, serving as a methodological steward accountable for strong QA, transparent workflows, and high-quality outputs.
Advanced NLP and large language model (LLM) capabilities, with experience or strong interest in analysing natural language data and conversational AI tool outputs.
Statistical and methodological expertise in analysing qualitative data and transforming it into quantitative insights, including coding frameworks, embeddings, clustering, model-based text analysis, and mixed-methods integration.
Comfortable managing the full analytical workflow—from instrument design to modelling to interpretation—with a strong commitment to accuracy, transparency, and scientific integrity.
Benefits
Fantastic, fun and collaborative colleagues; opportunity to solve tough challenges in healthcare
Ability to be entrepreneurial and tremendous opportunities for growth
Public Benefit Corporation with an impact and equity mission
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