<!--anchor--> <!--anchor--> Research Associate in Medical Statistics <!--anchor-->

We wish to appoint a Research Associate who will be a member of Medical Statistics group at the School of Life Course and Population Sciences. The successful candidate will be the lead analyst for two innovative projects – eLIXIR and TEAMcare. 

The eLIXIR Programme aims to address relationships between maternal and child physical health, and to investigate interactions with mental health. The programme will use combined information from routine health records and blood samples from mothers and their children from four London boroughs, Lambeth, Lewisham, Southwark, and Bromley. Part of this role will involve cleaning and analysing data from the eLIXIR routinely collected data specifically for the NIHR HSDR funded RESILIENT study ( 

https://www.kcl.ac.uk/slcps/our-departments/resilient

). Moreover, the postholder will also liaise with the wider RESILIENT team within the other work packages to provide input and support of data collected, as required to progress the project. Experience with large datasets and excellent communications skills will be essential for this role. 

The TEAMcare trial is an NIHR-funded randomised controlled trial investigating whether new technologies can improve asthma outcomes for children and reduce unscheduled care across 3 London boroughs. Two new technologies (a smart sensor for an inhaler and a device to record wheeze sounds) will be trialled alongside usual integrated asthma care for children aged 6-18. The trial will incorporate data from primary and secondary care sources, technology apps and participant completed questionnaires to inform decision-making on whether the inclusion of these devices alongside usual care is of benefit to children with poorly controlled asthma. Experience with design and analysis of RCTs is essential for this role. 

Both projects will involve developing and applying analysis plans using a variety of advanced methods with the support of project supervisors.

The postholder will have completed a PhD in a relevant discipline and have expertise in quantitative research methods.  They will be someone who thrives in a highly collaborative and interdisciplinary environment, but is able to work independently, solve problems and deliver research to tight deadlines. The role will involve collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and health economics and integration into the broader eLIXIR and TEAMcare teams.

This is an outstanding opportunity to develop a research career through high quality publications, contributing to research proposals and taking advantage of developmental opportunities within the department and KCL.

King’s is committed to fostering an environment of equality, diversity and inclusion. 

This post will be offered on an a fixed-term contract from 1st June 2022 to 31st May 2024 with the possibility of an extension, subject to funding. 

This is a full-time post – 100% full time equivalent

• Conduct epidemiological analyses including model longitudinal trends in incidence and outcomes and develop novel clinical prediction models for outcomes 
• Design and analysis of RCTs including supporting the eCRF setup, writing statistical analysis plans, writing DMC reports and attending the DMC/TSC meetings, and final analysis
• Develop statistical tools (longitudinal analysis, outcome prediction, trial analysis)
• Prepare scientific/research data to be presented at internal and external meetings in relation to the programme of research 
• Prepare and contribute to the preparation of manuscripts for publication in peer-reviewed journals 
• Contribute to research proposals for further funding 
• Ensure the success of multidisciplinary research programmes, contributing and leading the conduct of all analytics aspects 

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.

Essential criteria 

1.      PhD in Medical Statistics or Epidemiology 

2.      Experience working with large datasets 

3.      Experience with relevant statistical software (R preferred) 

4.      Experience writing/contributing to manuscripts for publication 

5.      Research experience in Public Health/Epidemiology/Informatics/ Statistics 

6.      Excellent written and oral communication skills 

7.      Ability to work in a multidisciplinary team and independently 

8.      Committed to equality, diversity and inclusion, actively addressing areas of potential bias 

Desirable criteria 

1.      MSc in Statistics or Epidemiology 

2.      Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial analysis. 

3.      Publications in high impact journals 

4.      Experience in women and children’s health research 

Candidates are strongly encouraged to specifically address the essential criteria outlined in the Person Specification in their covering letter.

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.  

The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in women and children’s health, diabetes, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women's Health cluster) for REF 2014 was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across six Departments