Job id: 071247. Salary: \xc2\xa349,737 - \xc2\xa358,421 per annum, including London Weighting Allowance.
Posted: 13 July 2023. Closing date: 27 July 2023.
Business unit: IoPPN. Department: Biostatistics & Health Informatics.
Contact details: Daniel Stahl. Daniel.r.stahl@kcl.ac.uk
Location: Denmark Hill Campus. Category: Academic & Teaching.
Job description
This is an exciting opportunity for a Lecturer in Biostatistics to join us to contribute to the postgraduate educational programme at the Department of Biostatistics and Health Informatics (BHI) at the Institute of Psychiatry, Psychology & Neuroscience, King\'s College London (IoPPN, KCL). The appointment will be made on the Academic Education Pathway, where the primary contribution is to education (80% of the role) and secondary contribution is to research (20%). Our expertise in Biostatistics includes prediction modelling and personalized medicine; causal evaluation and the analysis of therapeutic mechanisms; the Psychometrics & Measurement Lab; life course research and mental health trial statistics. The Health Informatics group is focused on translational health informatics and its application to complex diseases.
The role involves contributing to the delivery of our MSc/PGDip/PGCert program in "Applied Statistical Modelling and Health Informatics" and teaching Biostatistics to other postgraduate programmes in Psychology, the successful candidate will play a vital role in providing high-quality education, fostering academic growth, and contributing to the development of a modern curriculum in Biostatistics and Statistical modelling.
We are seeking an enthusiastic and dedicated colleague who can make a distinctive contribution to education and link with collaborative high-quality research. We are particularly interested in recruiting someone with a strong biostatistical background, and experience in health research, specifically related to our department and/or education research focusing on statistics in education. The ideal candidate should possess excellent teaching and communication skills and be capable of effectively explaining complex statistical topics to postgraduate-taught students in psychology as well as conveying mathematical concepts to our postgraduate-taught students.
Education and training of the next generation of scientists is a priority at the Department of Biostatistics and Health Informatics. As post holder, you will provide educational leadership on our MSc/PGDip/PGCert in Applied Statistical Modelling and Health Informatics as well as other statistics modules within postgraduate programs across the faculty. This could include programme and/or module leadership, course delivery, assessment, research project supervision, and personal tutor roles. In collaboration with others, you will also support postgraduate Biostatistics courses within the School and Faculty, for example through the supervision of Graduate Teaching Assistants.
You should be able to demonstrate suitable teaching skills and experience including curriculum development and assessment design, along with an ability to supervise student research dissertations. Your research focus should either be in a pedagogical area or in applied medical statistics that complements the existing interdisciplinary research in our department. Inter-disciplinary research collaboration with existing departmental research programmes will be encouraged. We encourage open science practices in data, software and publishing. We welcome applicants who are disabled, LGBTQ+ and/or from a minority ethnic background, as they are under-represented at King\'s. We are deeply committed to embedding good equality and diversity practice into all our activities so that the university is an inclusive, welcoming and inspiring place to work and study. The Department strives to be an open and supportive community, with a strong emphasis on working practices that promote diversity and inclusion, including an anti-racism working group.
About the Faculty and Department of Biostatistics & Health Informatics
About the MSc in Applied Statistical Modelling and Health Informatics
This post will be offered on an indefinite contract. This is a full-time post - 100% full time equivalent; a part-time role would be considered.
Key responsibilities
Education
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