Research Assistant / Research Fellow in Epidemiology/Data Science

About the role

The work has a particular focus on quantifying inequalities in utilisation of services related to mental health for adolescents and their families. The post-holder will conduct analyses of national administrative databases including the enhanced ECHILD database. The wider project aims and post are nested within the NIHR Children and Families Policy Research Unit (CPRU), which aims to conduct high-quality research to support the development of evidence-based policy to improve the health of children and families and to develop methods and data resources to improve the quality and timeliness of evidence for policy. The post-holder will also work collaboratively with the UKRI Population Mental Health Improvement Consortium to undertake research activities aiming to improve early intervention and address inequalities in population mental health. The post holder will have responsibility for designing and delivering the analyses, writing journal papers and other activities and outputs commensurate with the grade. The post-holder will have responsibility for presenting the study to diverse audiences including representatives from DHSC, funders, the public, and our practice, policy and academic research audiences. The post holder may be required to contribute to ad hoc responsive requests for research from DHSC (up to 20% of time). Experience with one or more of the administrative databases within ECHILD would be an advantage. The salary offered is at either grade 6B: £39, – 41, per annum or grade 7: £45, – £52, per annum depending on qualifications and experience and is funded until 30/09/ in the first instance. This role is eligible for hybrid working with a minimum of 40% (two days a week) on site. We will consider applications to work on a part-time, flexible and job share basis wherever possible.

About you

The successful applicant will have experience in the following:
• MSc (PhD required for G7) in relevant discipline ( epidemiology, statistics, health informatics) or equivalent experience
• Large and longitudinal administrative dataset data management and curation ( Hospital Episodes Statistics, National Pupil Database, Mental Health Services Data)
• Quantitative skills in analysing large longitudinal administrative data, including regression analysis Required skills:
• Advanced skills in at least one statistical software package ( STATA, R)
• Quantitative skills in analysing large longitudinal administrative data, including regression analysis
• Excellent organisational skills with ability to manage multiple priorities at the same time and the ability to work independently, and collaboratively across diverse disciplines Writing, presenting and explaining technical and/or scientific reports to scientific and lay audiences

What we offer

As well as the exciting opportunities this role presents we also offer some great benefits some of which are below: 41 Days holiday (including 27 days annual leave 8 bank holiday and 6 closure days)
Defined benefit career average revalued earnings pension scheme (CARE)
Cycle to work scheme and season ticket loan
On-Site nursery
On-site gym
Enhanced maternity, paternity and adoption pay
Employee assistance programme: Staff Support Service
Discounted medical insurance