Research Fellow in Epidemiology/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

The Institute of Health Informatics is looking to appoint a Research Fellow in Epidemiology/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 Research Fellow will work closely with our expert team to help deliver a new project aiming to define and analyse all diseases which are captured in structured health records (“The Disease Atlas”). The postholder will be responsible for planning and conducting data analysis using data from a range of sources to understand disease-treatment indications and produce interactive visualizations of the results generated.

The post is full time (36.5 hours per week) and the post is funded until May 2025, further funding may become available.

For an informal discussion please contact Harry Hemingway at h.hemingway@ucl.ac.uk

For any queries regarding the recruitment process please contact Anita Gorasia at a.gorasia@ucl.ac.uk

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.

You must have a PhD in epidemiology, data science or other related field. You will have strong statistical analysis (using R) and programming skills (e.g. in Spark either via Python or SQL) applied to large scale health record data from hospitals or primary care.

Experience of analysing ICD-10-coded health record data and/or experience of developing data visualisation pipelines is essential.

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), additional 5 days’ annual leave purchase scheme, defined benefit career average revalued earnings pension scheme (CARE), cycle to work scheme and season ticket loan, immigration loan, relocation scheme for certain posts, on-Site nursery, on-site gym, employee assistance programme: Staff Support Service, discounted medical insurance

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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