Job description
As part of our recently funded extension to our collaborative BRIGHT study we seek to recruit an enthusiastic postdoctoral Research Associate skilled in data analysis and health research. The postholder will work collaboratively with a thriving multidisciplinary team in The UK and The Gambia to help understand risk and resilience factors for infant neurodevelopment and longer-term neurobehavioral outcomes in children.
Using the rich, longitudinal data collected during the BRIGHT study in The Gambia, the postholder will model exposure phenotypes and establish health, social and environmental risk and resilience factors shaping developmental outcomes from birth to preschool age. These will then be linked to early biomarkers of development, with the goal of establishing targets for future interventions. The postholder will be expected to present data at relevant internal and external research meetings and lead or contribute to peer-reviewed papers. They will be supported by a team of established research academics both at KCL and across the collaborating institutes (UCL, University of Cambridge, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine).
This post offers an exciting opportunity for career development within the fields of global health, early child development and data modelling, working within a nurturing academic environment. Relevant training needs will be supported through both inhouse and external programmes and the postholder will benefit from career development opportunities offered by KCL and across the broader BRIGHT network.
As a research post, we encourage individuals to actively develop academic skills, and whilst there are no formalised teaching requirements, there will be opportunities to be involved in Departmental teaching programmes (e.g. iBSc, and MSc programmes).
This post will be offered on a fixed-term contract until 31/08/2025.
This is a a full-time post – 100% full time equivalent.
Key responsibilities
- Carry out research into risk and resilience factors for infant and early child development
- Collaborate with a team of researchers (including PhD students) at King’s College London and at different academic institutes in the UK and elsewhere
- Help contribute to the archiving of data and to the development of an open access data repository of the BRIGHT study data
- Support Prof Moore and other members of her group in related research programmes
- Engage in research dissemination and produce written research outputs
- Develop ideas for future research studies and publications.
- Participate in relevant project meetings.
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
- PhD in Epidemiology, Medical Statistics, Bioinformatics or a related programme
- Proficiency in statistical analysis software and/or environment (e.g. Stata, R, Python, Matlab)
- Proven experience of working with complex datasets
- Experience working in multidisciplinary, collaborative teams
- Experience of working with health-related data
- Ability to produce high quality research outputs (e.g. abstracts and papers)
- Flexible approach to working (including travel, hours, locations)
- Committed to equality, diversity and inclusion, actively addressing areas of potential bias
Desirable criteria
- Experience of working in global health
- Experience of working in early child development
- Experience in mentoring/supporting colleagues and students
- Proven track record of collaborative working relationships
- Desire to pursue a research career
* 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.
Further information
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
The School of Life Course & Population Sciences is one of five 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, 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 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
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