Research Assistant / Research Fellow in Epidemiology/Data Science

UCL; London; Hybrid; GBP 39,000 - 53,000; Full time

Job summary

A leading university in London is seeking a candidate to analyze inequalities in mental health service utilization for adolescents. The role involves handling large data sets, conducting quantitative analysis, and presenting findings to various stakeholders. Applicants should possess a relevant MSc or PhD and advanced statistical skills. This position offers the opportunity for hybrid working and generous benefits.

Benefits

41 Days holiday

Defined benefit pension scheme

On-site gym

Employee assistance programme

Qualifications

• Experience with large longitudinal administrative datasets.
• Advanced skills in statistical analysis.
• Ability to present reports to diverse audiences.

Responsibilities

• Conduct analyses of national administrative databases.
• Design and deliver analyses and journals.
• Present studies to diverse audiences.

Skills

Quantitative analysis

Statistical software (STATA, R)

Organizational skills

Education

MSc or PhD in relevant discipline

Tools

Hospital Episodes Statistics

National Pupil Database

Mental Health Services Data

Job description

About us

Our mission is to maximise and advocate for the holistic health of all children, young people and the adults they will become, through world-class research, education and public engagement. The UCL GOS ICH, together with its clinical partner Great Ormond Street Hospital for Children, forms the largest concentration of children's health research outside North America. The 2024-29 GOS ICH strategy focuses on its five scientific programmes. GOS ICH's activities include active engagement with children and families, to ensure that our work is relevant and appropriate to their needs. GOS ICH generates the funding for our research by setting out our proposals in high quality applications to public, charitable and industrial funding bodies and disseminates the results of our research by publication in the medical and scientific literature, to clinicians, policy makers and the wider public. The Institute offers world-class education and training across a wide range of teaching and life learning programmes which address the needs of students and professional groups who are interested in and undertaking work relevant to child health. GOS ICH holds an Athena SWAN Charter Gold Award. Please only attach relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc.

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: £39,148 - £41,833 per annum or grade 7: £45,103 - £52,586 per annum depending on qualifications and experience and is funded until 30/09/2027 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 (e.g. epidemiology, statistics, health informatics) or equivalent experience
• Large and longitudinal administrative dataset data management and curation (e.g. 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 (e.g. 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

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/