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CC9728 Lecturer (Assistant Professor)/Senior Lecturer or Reader (Associate Professor) in Statistics and Data Science — Jobs at Bath

Academic job postings in statistics and data science form a large part of this board, covering everything from assistant professor and lecturer roles through to senior, reader, tenured, and tenure-track positions. Listings typically include the grade of the post, the department, and the university involved, so candidates can quickly narrow down the level they are applying for. Posts that combine teaching and research duties are common, as are opportunities centred on artificial intelligence, machine learning, natural language processing, and biomedical or clinical data analysis.

The board also gathers positions from departments of mathematics, computer science, engineering, and information science, alongside interdisciplinary centres focused on health data, decision science, and data warehouse architecture. Research-oriented roles appear frequently, including postdoctoral fellowships, research fellow posts, doctoral and PhD candidate openings, and fixed-term appointments designed for project work. Scientists, biostatisticians, statisticians, and data analysts searching for career opportunities after a PhD will find a steady stream of relevant adverts here.

University careers offices and recruitment teams post many of these opportunities, meaning the adverts tend to be written with the official terminology of academic recruitment. Terms such as grade, faculty, academic, posts, career academy, teaching resources, and job details show up across the listings, which helps candidates understand the expectations attached to each contract type. Locations vary widely across the United Kingdom, Europe, Australia, and New Zealand, with universities in London, Cambridge, Oxford, Leeds, Exeter, Liverpool, Lancaster, Canterbury, Strathclyde, Melbourne, and Oslo appearing among them.

Applications are handled through a straightforward process: each listing carries a permalink where the full description, responsibilities, and criteria live, and most adverts point towards the university's own recruitment system for submission. Applicants benefit from reading the shared details carefully, since references to interviews, teaching loads, and research expectations are usually summarised before the formal documentation. Anyone with a background in statistics, data science, or related fields can use the board as a filter, focusing on the keywords that matter most to their own expertise.

Beyond individual vacancies, the board serves as a general reference point for anyone tracking the academic job market in quantitative disciplines. It surfaces posts from medical schools, science colleges, polytechnics, and research institutes, including fellowships and short-term appointments alongside permanent academic positions. The emphasis throughout is on clarity and speed of information, avoiding marketing language in favour of plain, factual descriptions. That no-nonsense approach suits researchers who would rather spend their time reading the requirements than filtering through promotional material.