Research Associate in Adolescent Digital Wellbeing

Research Associate in Adolescent Digital Wellbeing

The Kaleidoscope project is a year‑long longitudinal study of approximately 300 adolescents and families, collecting multi‑platform behavioural trace data across gaming platforms alongside ecological momentary assessment, qualitative measures, and randomised controlled trials of family‑facing wellbeing interventions. Working in close collaboration with the PI, you will take joint ownership of the project's technical infrastructure and quantitative analyses, while also playing an active role in participant recruitment, onboarding, and retention.

The project is designed for genuine intellectual partnership, with substantial scope to specialise and pursue independent research directions within the scope of digital wellbeing.

You will take ownership of the quantitative and technical infrastructure of the Kaleidoscope project, working in close collaboration with the PI and a Research Assistant who leads participant recruitment and day‑to‑day engagement. Based on your expertise and interests, you will lead elements of the data collection pipeline and analytical strategy – together building a rigorous, end‑to‑end research programme. This includes contributing to and maintaining data collection systems (REST APIs, SQL databases, mobile‑based ESM tools), ensuring data pipelines are robust, well‑documented, and version‑controlled, and leading advanced quantitative analyses of intensive longitudinal and behavioural trace data using causal inference and multilevel modelling approaches.

You will contribute to the design and analysis of randomised controlled trials testing family‑facing interventions emerging from the study's qualitative findings, and co‑author reproducible open science manuscripts including writing and maintaining analysis code in R or Python.

• A PhD in a relevant discipline (e.g., computational social science, psychology, human‑computer interaction, data science)
• A strong publication track record in relevant venues, commensurate with career stage
• Demonstrated use and commitment to open science embedded throughout the research process (e.g., registered reports, open data, and reproducible workflows)
• Experience analysing intensive longitudinal data (e.g., ESM/EMA), including multilevel modelling approaches
• Experience conducting research with human participants in a longitudinal context, including recruitment, onboarding, and retention
• Strong programming skills in R and/or Python, including writing clean, documented, version‑controlled code suitable for collaborative and reproducible research
• Experience with or strong knowledge of causal inference methods (e.g., DAGs, potential outcomes framework)
• Familiarity with data infrastructure at a practical working level (e.g., REST APIs, SQL databases)
• Experience with intervention design and/or randomised controlled trials

• Joint intellectual ownership of a well‑resourced, end‑to‑end research programme spanning participatory research, RCTs, data infrastructure, and intensive longitudinal data monitoring
• A productive publishing environment with a strong expectation of sustained lead‑ and co‑authored output throughout the post, in topics aligned with the applicant’s career goals
• Active mentorship and dedicated time for career development, including support for fellowship and grant applications
• Co‑supervision of a full‑time Research Assistant, with additional student supervision opportunities available
• Work at the intersection of psychology, human‑computer interaction, and psychiatry, collaborating with researchers across Imperial's Dyson School of Design Engineering and Department of Psychiatry
• Deep embedding in open‑research practices, including registered reports, open data, power simulations, reproducible workflows
• Engagement opportunities spanning general public, press, and industry stakeholders
• A well‑resourced project – including a substantial participant compensation budget, conference attendance funding, and a full suite of gaming hardware
• The opportunity to continue your career at a world‑leading institution and be part of our mission to continue science for humanity
• As a member of research staff you have 10 development days to use to develop your skills and explore your career prospects
• Sector‑leading salary and remuneration package (including 41 days off a year and generous pension schemes)
• Be part of a diverse, inclusive, and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing