Research Assistant in Behavioural Science

The post-holder will work as a Research Assistant with Max Maier on the project "Understanding the Heterogeneity of Behavioural Interventions Through Mixture Modelling", funded by a Behavioural Research UK (BR-UK) Commissioning Fund Accelerator Award. The post-holder will support the project with various tasks, such as study coding, data analysis, setting up online experiments, and writing.

To apply please submit
1) a cover letter (no more than one page),
2) your CV, and
3) your most recent academic transcript.

Please note:

there will be no interviews for this post. Selection will take place in two stages: (1) shortlisting based on cover letter, CV, and academic transcript, and (2) a short work task involving programming for shortlisted candidates. Please send any queries to

• Undergraduate degree (or equivalent) in psychology, behavioural science, statistics, economics, computer science, or a related quantitative discipline;
• Proficiency in programming in R and in Python;
• Strong grounding in quantitative research methods and statistics;
• Excellent written communication skills;
• High attention to detail and accuracy (e.g., for study coding and data management);
• Ability to work collaboratively as part of a research team; ability to organise own workload, prioritise tasks, and meet deadlines.

• Familiarity with LaTeX/Overleaf;
• Experience setting up experiments or surveys in Qualtrics;
• Experience with version control (e.g., Git/Git Hub) and reproducible research workflows.

• Start and end date: ASAP for 20 Weeks
• Final date to receive applications:
  Thursday 23 July 26

Please note upon applying for this role you are consenting to your contact details being shared directly with the hiring manager.