Lecturer (Teaching) in Health Data Science or Health Care Artificial Intelligence (Maternity Cover)

About us Join Us as a Lecturer (Teaching) in Health Data Science or Health Care Artificial Intelligence (Maternity cover) at the UCL Institute of Health Informatics Are you passionate about data-driven research and improving health outcomes? Come join the Institute of Health Informatics (IHI) – a vibrant, collaborative environment at the heart of UCL's world‑leading Faculty of Population Health Sciences. The UCL Institute of Health Informatics (IHI) was established in August 2014 within the Faculty of Population Health Sciences. Our mission is to conduct high‑quality, data‑intensive research to improve health outcomes locally, nationally, and globally. IHI delivers one of the UK's largest and most highly regarded teaching programmes in health informatics and health data science. We are also proud to host one of the four UKRI Centres for Doctoral Training in AI in Healthcare, supporting the next generation of leaders in the field. The Faculty of Population Health Sciences is UCL's largest research‑based faculty, comprising eight institutes dedicated to advancing health through innovative research and education. Learn more at www.ucl.ac.uk/population-health-sciences About the role We're looking for a Lecturer (Teaching) to join our team and help shape the future of health informatics. You'll play a key role in carrying out high quality research particularly where the scale or detail of data allows scientific advances of relevance to decision makers. A full list of responsibilities can be found on the attached job description. This is a full‑time post (36.5 hours/week), for 12 months. For informal enquiries, please contact Johan Thygesen at j.thygesen@ucl.ac.uk. For questions about the recruitment process, contact Anita Gorasia at a.gorasia@ucl.ac.uk. 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'll have: A PhD in a relevant discipline Experience of teaching statistics, epidemiology, health data science or related subjects in a higher education setting, preferably at MSc level Ability to supervise postgraduate research Advanced statistical skills in at least one statistical programming language/software package (e.g. R or Stata) Experience of and enthusiasm for collaborative and team‑based working Your application must include a CV and a supporting statement and it will be assessed on how you evidence the essential and desirable criteria in the job description. Please see the attached job description and person specification for more information. What we offer At UCL, we believe work should fit around life - not the other way around. That's why we offer flexible working options, including part‑time roles and job‑sharing opportunities wherever possible. But it's not just about flexibility - it's about feeling rewarded, too. When you join UCL, you'll enjoy: 41 days of holiday (pro rata for part‑time staff) - that's 27 days of annual leave, 8 bank holidays, and 6 closure days Cycle to work scheme - save money and stay healthy Season ticket loan - making your commute more affordable On‑site gym - fitness made convenient Employee Assistance Programme - for confidential wellbeing support when you need it Whether you're looking to grow your career or simply find a better balance, UCL could be the right place for you. Learn more about our full range of benefits at: ucl.ac.uk/work-at-ucl/reward-and-benefits Our commitment to Equality, Diversity and Inclusion The Institute prides itself on operating in an all‑inclusive environment irrespective of personal, physical, or social characteristics. As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and women. You can read more about our commitment to Equality, Diversity, and Inclusion https://www.ucl.ac.uk/equality-diversity-inclusion #J-18808-Ljbffr