About us

The Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London is one of Europe’s leading centres for mental health and neuroscience research and a global leader in advancing mental health science. Within the IoPPN, the Department of Biostatistics and Health Informatics, part of the School of Mental Health and Psychological Sciences (MHaPS), plays a pivotal role in the education and training of students in statistical methods and health informatics. The department delivers the highly regarded MSc in Applied Statistical Modelling and Health Informatics, alongside contributing to a range of educational initiatives across the faculty. This role is integral to ensuring the continued success and development of these programmes, providing students with an exceptional learning experience.

About the role

We are seeking a Teaching Fellow to join our dynamic education team at the Department of Biostatistics and Health Informatics, King’s College London. This is an exciting opportunity to contribute to the delivery and development of high-quality, accessible statistical and informatics education within a vibrant academic environment. The successful candidate will play a key role in teaching statistical methods across MSc programmes, with a primary focus on the MSc in Applied Statistical Modelling and Health Informatics.

The postholder will design, deliver, and evaluate postgraduate statistical teaching, ensuring the curriculum remains current, innovative, and aligned with advancements in pedagogy and technology. Teaching will include a mix of online and on-campus activities, such as lectures, workshops, tutorials, and practical sessions, all aimed at equipping students with a robust understanding of applied statistical methods. Clear and effective communication of complex statistical concepts is essential, particularly to MSc students specialising in psychology, psychiatry, and mental health.

The role also offers the opportunity to contribute to module leadership and curriculum development, shaping the future of statistical and informatics education within the department. Additional responsibilities include supporting student research projects, participating in assessment, and providing pastoral care to create a supportive and enriching learning environment.

This is a full-time role (35 hours per week) on an indefinite contract, ideal for an individual passionate about teaching and eager to make a meaningful impact on student outcomes, embrace innovative teaching methods, and contribute to the advancement of statistical and informatics education in a world-class academic setting.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. A Master’s or PhD in Statistics, Psychology, or a related subject with experience using quantitative methods.
2. Demonstrated ability to communicate and teach core subject knowledge effectively.
3. Proficiency in statistical software.
4. Experience in developing and delivering high-quality teaching in Statistics or related subjects in higher education.
5. Excellent oral and written communication skills.
6. High level of proficiency in general computer software and digital tools relevant to teaching and learning.
7. Strong interpersonal skills, including the ability to provide pastoral support and foster a positive learning environment.
8. Evidence of a commitment to maintaining and enhancing knowledge in teaching and subject expertise.
9. Ability to adapt teaching approaches to meet the needs of a diverse student population.
10. A demonstrable commitment to and understanding of equality, diversity, and inclusion principles.

Desirable criteria

1. Experience with online teaching platforms such as Moodle or similar virtual learning environments.
2. Experience in developing engaging and accessible online learning resources, including multimedia content or interactive tools.
3. Experience or interest in pedagogical research, particularly in the context of higher education or statistical education.
4. Proficiency in syntax-based statistical software such as R, Python, or Stata.
5. Fellowship of the Higher Education Academy (HEA) or equivalent teaching qualification, or a commitment to working towards this.
6. Experience supervising or mentoring students, particularly in research projects or applied settings.

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King’s.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘ How we Recruit’ pages.

Interviews are due to be held in March 2025.