Research Associate (ICPR)

About The Job We are looking for a highly organised, proactive, and analytically minded Research Associate to support the academic and scientific programme of ICPR7. You will work directly with the Conference Chair, Co-organiser, Local Scientific Committee, and international professional bodies such as the International Community of Practice Research and International Association of Schools of Social Work to deliver an outstanding, inclusive, and evidence-informed programme. What You Will Be Doing Key Responsibilities Manage the end-to-end abstract submission and review process Coordinate double-blind peer review, score analysis and quality assurance Conduct quantitative and qualitative analysis of submission abstract data and programme diversity metrics to inform decision-making and reporting Liaise with local and international speakers to curate their dedicated sessions Support the design and scheduling of parallel plenaries, seminars, workshops, PechaKucha, and digital posters Prepare the conference programme book, pre- and post-conference proceedings Assist with pre-conference webinar series and speaker coordination Provide research and analytical support for special journal issues Provide hospitality services for the ICPR Board Document meetings and maintain accurate records of decisions made Prepare a comprehensive post-conference summary report on outcomes, participant feedback, and overall conference experience Perform other duties related to ICPR7 as assigned by the Conference Chair and Co-organiser Job Requirements A recognised degree or diploma, preferably in social sciences, psychology, or related disciplines. At least 5 years of relevant working experience, particularly in research support. Excellent coordination, administrative, and organisational skills with attention to detail. Ability to multitask, work independently, and adapt to dynamic conference needs. Good writing, communication, and interpersonal skills for stakeholder engagement. Demonstrated strong analytical skills (experience with Excel, SPSS, NVivo, or similar tools highly desirable) Proven ability to interpret, summarise, and visualise data for decision-making Cultural sensitivity and experience working in international, virtual teams