Lecturer - Teaching (Secondment, Internal UCL Candidates Only) at University College London
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

27 May, 25

Salary

63752.0

Posted On

21 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Teaching

Industry

Education Management

Description

ABOUT US

UCL established the Institute of Health Informatics (IHI) in August 2014 in the Faculty of Population Health Sciences. The aim of IHI is to conduct high quality data-intensive research to improve health at local, national, and international levels. delivers one of the largest and most highly regarded teaching programmes in health informatics and health data science. It is home to one of four UKRI Centres for Doctoral Training in AI in Healthcare.
The Faculty of Population Health Sciences has established itself as UCL’s largest research-based faculty, encompassing eight institutes. More information available at www.ucl.ac.uk/population-health-sciences/

ABOUT YOU

If you believe you meet the requirements, come and be part of this unique and exciting opportunity and contribute to our mission to improve health outcomes through research. You will have a PhD in epidemiology, biostatistics, public health, or a related field, or equivalent research experience as well as strong knowledge of research methods and data interpretation.
The Lecturer will demonstrate exceptional organisational skills, ensuring smooth course delivery through well-structured lesson plans.
Please review the job description before applying, paying particular attention to the essential/desirable criteria, and ensure your experience in these areas is addressed in the questionnaire section of the application.

Responsibilities

ABOUT THE ROLE

This internal secondment role is ideal for an Lecturer looking to shape postgraduate education by advancing the use of modern data sources and research methods. The successful candidate will play a key role in co-developing and delivering a core MSc module, ensuring high-quality teaching and rigorous exam-based assessment while integrating interactive and group-based learning approaches to enhance student engagement. Scheduled for Term 1 of 2025, the module is expected to attract over 100 students, providing a key foundation in epidemiological methods and an opportunity to influence the next generation of data scientists and public health researchers.
The post is until 31 July 2026 in the first instance.
For an informal discussion please contact Laura Horsfall (l.horsfall@ucl.ac.uk)
For any queries regarding the recruitment process, please contact Anita Gorasia at (a.gorasia@ucl.ac.uk)

As well as the exciting opportunities this role presents, we also offer some great benefits, including:

  • 41 days holiday (pro rata for part-time staff) (27 days annual leave,
  • 8 bank holidays, and 6 closure days)
  • Cycle to work scheme
  • Season ticket loan
  • On-site gym
  • Employee assistance programm
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