Job Description
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 max.maier@wbs.ac.uk. 8260222 Essential: 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. Desirable: Familiarity with LaTeX/Overleaf; Experience setting up experiments or surveys in Qualtrics; Experience with version control (e.g., Git/GitHub) and reproducible research workflows. Remote - (all work must be completed in the UK) Start and end date: ASAP for 20 Weeks Deadline to apply: Sunday 02 August 26 Please provide a cover letter, CV, and your most recent transcript of records with your application (please merge CV and transcript into a single pdf for submission). Please note upon applying for this role you are consenting to your contact details being shared directly with the hiring manager.