Job description

The post holder's role will be to work on the Children and Young Peoples' Health Partnership (CYPHP) Evaluation study, led by Dr Ingrid Wolfe. The CYPHP Evelina London Evaluation is funded by Guy's and St Thomas's Charity to evaluate the impact of the CYPHP program on children's health services in Lambeth and Southwark. CYPHP is unique in the UK and across Europe in its cross-organisational, system-wide, transformative, and academically rigorous approach to improving child health services.

CYPHP Evelina London model of care is designed to deliver significantly better health, better healthcare outcomes, and better value for children and young people.

The CYPHP Evelina London Evaluation is an opportunistic Cluster Randomised Control Trial to assess the impact of the CYPHP Evelina London model of care on child health, healthcare quality, and health service use, and health equity the three four parameters that the programme aims to affect.

The post holder will work alongside the Lecturer in Statistics to liaise with relevant lead investigators to manage all aspects of data analysis and statistics for the CYPHP Evelina London Evaluation.

Hours: Full-time - 35 hours per week

Contract: Fixed-term for up to 20 months

Key responsibilities

Analyse data under the guidance of Senior Statisticians (liase with investigators, write and document programs for analysis, prepare statistical reports, assist with preparation of presentation and publication of research findings).

Accurate data collection (contribute to design and implementation of data collection, implement effective quality assurance techniques).

Manage research databases (organse data files to facilitate analysis, prepare SOPs to describe data handling, transfer and storage).

Administrative duties (maintain accurate records of all research activity, undertake project related admin tasks, contribute to preparation of papers).

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Skills, knowledge, and experience

Essential criteria

MSc in Biostatistics, or another relevant subject

Advanced knowledge of quantitative analysis software (particularly R)

Knowledge of statistical methods for data analysis

Proven ability to manage research databases including cleaning, analysing and reporting data

Experience of using R for analysing data

Experience working in data collection and processing

Excellent organisation skills, with ability to work to and meet deadlines

Attention to detail and accuracy

Excellent written and verbal communication skills

Excellent interpersonal skills with ability to work both collaboratively and independently

Experience of working with big data

Desirable criteria

Additional qualifications in research methodology or health related discipline

Knowledge of other programming languages (e.g. Python, Powershell, VBA)

Knowledge of processes involved in health research.

Experience with reporting findings including manuscript preparation, and presenting (oral and/or written form)

Experience and/or familiarity of using electronic data capturing for data collection, including quality assurance and use of data for analysi, and health system research methodology.

This advertisement does not meet the requirements for a Certificate of Sponsorship under Home Office regulations and therefore the university will not be able to offer sponsorship for this role.