Senior Research Fellow (Statistical Analyst)

Hybrid – within commutable distance of Beckenham (BR3 1QP), Birmingham (B15 2HU), Bradford (BD4 6NR), Blackburn (BB1 2HT), Bristol (BS10 5PY), Doncaster (DN6 7EQ) or Redcar (TS10 4AB) Fixed-term contract until 31 August 2028 Help shape the future of teacher development by creating powerful opportunities to understand what supports great teaching, how teachers develop over time, and how evidence can inform better decisions across schools, policy and the wider education sector. At the National Institute of Teaching, we believe teaching is a fundamental societal good, a privilege and a responsibility. Our work is rooted in that belief: we exist to improve the quality of teacher and leader development at a system level, so that every child and young person benefits from excellent teaching. We are looking for a Senior Research Fellow (Statistical Analyst) to play a leading role in one of the most exciting and ambitious areas of our work: the development and use of the NIoT’s Teacher Education Dataset (TED). This growing national asset safely links pupil- and teacher-level data at scale, creating powerful opportunities to understand what supports great teaching, how teachers develop over time, and how evidence can inform better decisions across schools, policy and the wider education sector. This is a rare opportunity to use advanced statistical analysis to answer questions that matter. You will lead complex quantitative research, shape how TED is used across the organisation and beyond and help turn large-scale data into insights that are rigorous, practical and meaningful for schools, policymakers and researchers. Your work will contribute directly to our mission by helping the sector better understand teaching’s impact and how teacher and leader development can be strengthened. You will join a collaborative academic community of researchers, practitioners, digital product specialists and school-facing colleagues who are united by a shared commitment to evidence-informe