Data Scientist in Public Health London, England
Job description
About us
The mission of the UCL Great Ormond Street Institute of Child Health is to improve the health and well-being of children, 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. 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.
About the role
We are seeking a collaborative and self-motivated research associate for an exciting opportunity to explore the linkage between mothers and babies, and linkage with mental health services data, within the novel ECHILD database. This role will support researchers within the Children and Family’s Policy Research Unit and wider work conducted by the Child Health Informatics Group (CHIG) at ICH. This post is an exciting opportunity for an experienced researcher to gain experience in analyses of the ECHILD database and contribute to the work of the NIHR Children and Families Policy Research Unit (CPRU). Working with the CPRU team and as part of the wider Child Health Informatics Group (CHIG), the post holder will design, conduct and write up analyses relevant to the work of CPRU. Topics will be agreed with the CPRU team and are expected to result in peer reviewed publications. Examples of potential topic areas are: i) mortality among vulnerable children, adolescents and young people; ii) associations between maternal characteristics and child outcomes. Working closely with study PIs, the post holder will support other researchers and PhD students to deliver the data needs of existing and new ECHILD research projects. The salary offered in this role is at grade 8 (£48,614 - £52,623 pa pro rata) and is funded until 31/12/2023 in the first instance.
About you
The post holder should have a first degree in a relevant discipline (e.g. statistics, epidemiology, economics, health informatics, data science, computer science) or related experience and hold a PhD in relevant discipline or equivalent experience. Quantitative skills in analysing large longitudinal administrative data, statistical skills and the ability to perform data extracts, advanced organisation skills and excellent written and verbal communication are essential. Detailed criteria can be found on the job description and person specification below.
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/
