Research Fellow - Health Data Scientist

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 part time (18.25 hours) Research Fellow - Health Data Scientist to join our welcoming and vibrant Institute.

The Research Fellow - Health Data Scientist will join our expert project team to deliver an exciting project alongside our industry partner. They will work with contemporary electronic health record data sources, including UK Biobank, Genes and Health and Our Future Health, to create and evaluate novel methods for defining phenotyping algorithms, and develop detailed data analysis plans and contribute to writing technical documentation and scientific reports. The Research Fellow - Health Data Scientist will help plan and participate in regular knowledge exchange sessions and workshops with the funder to provide expert advice on cutting edge methodology in data science and phenomics.

The post is funded until 31 December 2025 after which further funding may become available.

Appointment at Grade 7 (£42,099 - £50,585 per annum, pro rata) is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (£37,332 - £39,980 per annum, pro rata) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.

This role does not meet the eligibility requirements for a Skilled Worker certificate of sponsorship under UK Visas and Immigration legislation. Therefore UCL will not be able to sponsor individuals who require right to work in the UK to carry out this role.

For an informal discussion please contact Natalie Fitzpatrick at n.fitzpatrick@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.

The Research Fellow - Health Data Scientist will hold at least an MSc in a related field (e.g. computer science, health informatics, bioinformatics) or have a similar level of experience in an academic and/or industrial setting. You will have good knowledge of the Python scientific programming stack and best practices for software development. You will also have outstanding knowledge and experience of manipulating and analysing large electronic health record datasets, practical knowledge of controlled clinical terminologies (e.g. ICD-10 and SNOMED CT) and will have experience working with relational databases and SQL for manipulating electronic health record and clinical data.

What we offer

We will consider applicates to work on a parttime, 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/