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 atwww.ucl.ac.uk/population-health-sciences/.
About the role
Institute of Health Informatics is looking to appoint a full time (36.5 hours per week) 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 in Epidemiology / Health Data Science will analyse health data from 56 million people including coded data in Hospital Episode Statistics from the NHS England Secure Data Environment and primary care. They will develop reproducible analytic pipelines in one or more of the following: health care procedure data, geographic location data and/or temporal trends, and will design and execute analytic pipelines in our Atlas for Health.
A full range of duties can be found on the attached job description.
The post is funded until 31 December 2026, further funding may become available.
Appointment at Grade 7 (£43,124 - £51,610 per annum) is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (£38,357 - £41,005 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
For an informal discussion please contact Professor Harry Hemingway 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 where you feel included, valued and proud.
The Research Fellow in Epidemiology / Health Data Science must have a PhD or appropriate equivalent experience in epidemiology, data science, biostatistics or related quantitative discipline, as well as excellent statistical analysis programming skills in R and/or R-Studio and the ability to meet deadlines and work effectively as part of an inter-disciplinary team. The role holder will have experience of wrangling large-scale, structured electronic health records and experience using disease ontologies and classifications (particularly International Classification of Disease-10th revision), and experience developing reusable pipelines for managing and analysing large datasets (>100 million rows).
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.
What we offer
We will consider applicants 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 holidays, and 6 closure days), cycle to work scheme, season ticket loan, on-site gym and employee assistance programme.
Visithttps://www.ucl.ac.uk/work-at-ucl/reward-and-benefitsto find out more.
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 herehttps://www.ucl.ac.uk/equality-diversity-inclusion/#J-18808-Ljbffr
