Research Associate in Statistical Epidemiology
Can your data analysis and statistical skills help us improve understanding of adolescent mental health? The SCAMP team led by Professor Mireille Toledano are seeking a Post-Doctoral Research Associate to help deliver an ambitious and exciting new 5-year programme of work addressing multifactorial pathways to adolescent mental health, following a UKRI MRC grant funding extension worth £2.4m. Launched in 2014, SCAMP (Study of Cognition,...
Job listing information
- Reference MED02056
- Date posted 20 January 2021
- Closing date 7 March 2021
Can your data analysis and statistical skills help us improve understanding of adolescent mental health?
The SCAMP team led by Professor Mireille Toledano are seeking a Post-Doctoral Research Associate to help deliver an ambitious and exciting new 5-year programme of work addressing multifactorial pathways to adolescent mental health, following a UKRI MRC grant funding extension worth £2.4m.
Launched in 2014, SCAMP (Study of Cognition, Adolescents and Mobile Phones) is a major prospective cohort study, following secondary school pupils across London from Year 7 (ages 11-12) through to early adulthood to investigate whether use of mobile phones and other wireless technologies affect young people’s neurocognitive, behavioural and mental health outcomes. For more information on the SCAMP study please visit www.scampstudy.org
This post provides an excellent opportunity to analyse rich datasets from a large prospective cohort study, in a world-class research environment. You will contribute to a programme of research on child / adolescent epidemiology, with a particular focus on mental health, cognitive function, and environmental/lifestyle/external influences.
We are looking for a self-motivated researcher with the strong organisational and analytical skills needed to manage and analyse large and complex datasets including cognitive, health, biomarker, genetic, and risk factor data.
Duties and responsibilities
Your key responsibilities;
- To undertake a programme of child/adolescent epidemiology, with particular focus on mental health, cognitive function, and environmental/lifestyle/external influences (e.g. RF-EMF, physical activity, COVID-19), in collaboration with the PI, Co-Is, the research team and external collaborators.
- To conduct complex epidemiological/statistical analysis of cognitive, health, biomarker, and risk factor data using appropriate statistical software, as directed by senior researchers
- To undertake data quality checking, resolve data quality issues, and create and apply data cleaning protocols to the datasets, for the epidemiological aspects of data management.
- To develop robust and innovative statistical analysis plans for the SCAMP research programme
- To provide statistical guidance and input to all aspects of the SCAMP research programme as required, and to junior researchers/PhD students
- To effectively liaise with routine data providers, including NHS Digital and Department for Education, as required.
- PhD, or equivalent, in epidemiology, medical statistics or a related quantitative discipline.
- Strong background in either epidemiology or medical statistics
- Knowledge of epidemiological concepts and techniques.
- Thorough knowledge of modern applied statistical techniques including multilevel modelling and mediation analysis
- Experience of preparing large datasets for analysis (running database queries, checking and cleaning data, etc.)
This post is available on a full time, fixed term basis for 12 months in the first instance. You will be based at St Mary’s Campus (Paddington), although currently mainly remote working from home, due to COVID-19.
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £36,045 - £39,183 per annum.
As this post is exempt from the Rehabilitation of Offenders Act 1974, a satisfactory Disclosure and Barring Service (DBS) check, at the appropriate level, will be required for the successful candidate.
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