Lecturer (Teaching) in Health Data Science

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.

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 the role

Institute of Health Informatics is looking to appoint a full-time Lecturer (Teaching) in Health Data Science to join our welcoming and vibrant Institute.

This position presents a unique opportunity to join a team of experienced health data scientists, informaticians, statisticians and clinical epidemiologists and contribute significantly to the statistical analysis and subsequent presentation of results from large scale national and rich local health record data resources. The Lecturer (Teaching) will teach in postgraduate and undergraduate courses, contribute to the development and delivery of a high-quality, inclusive curriculum, with a focus on health data science; and make an active, independent, and original contribution to a collaborative research culture and body of knowledge.

A full range of duties can be found on the attached job description.

For an informal discussion please contact Johan Thygesen at .

For any queries regarding the recruitment process please contact Anita Gorasia at .

About you

If you believe you meet the requirements why not come and be part of this unique and exciting opportunity and be part of something where you feel included, valued and proud.

The Lecturer (Teaching) in Health Data Science must have a PhD in a relevant area as experience of teaching statistics, epidemiology, health data science or related subjects in a higher education setting, preferably at MSc level. They will have the ability to supervise postgraduate research, and experience of working with complex real world health data to deliver actionable insights, with experience in statistical areas.

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 your application.

What we offer

We will consider applicates to work on a part-time, flexible and job share wherever possible.

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are:, 41 Days holiday (pro rata for part time staff) (27 days annual leave 8 bank holiday and 6 closure days), cycle to work scheme, season ticket loan, on-site gym and employee assistance programme

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion

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 for our Grade 9 and 10 roles, women.

You can read more about our commitment to Equality, Diversity and Inclusion here https://www.ucl.ac.uk/equality-diversity-inclusion/

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