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 Research Fellow 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 contribute to transforming phenotype data to a common data model as well as deliver research describing the burden of rare cardiovascular disorders.
A full range of duties can be found on the attached job description.
The post is full-time (36.5 hours per week) and funded until 31 May 2028; 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 Tom Lumbers at t.lumbers@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 where you feel included, valued, and proud.
The Research Fellow must have a PhD or relevant experience, as well as experience with cloud platforms and the ability to write code that clearly expresses its purpose. Experience in creating and evaluating algorithms for identifying clinically important features in health record data is desirable.
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 basis wherever possible. In addition to the exciting opportunities this role presents, we also offer some great benefits, including: 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.
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to 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, including 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 here https://www.ucl.ac.uk/equality-diversity-inclusion/ #J-18808-Ljbffr