Nuffield Department of Women's & Reproductive Health (NDWRH), Level 3 Women's Centre, John Radcliffe Hospital, Oxford, OX3 9DU
PLEASE NOTE THAT THIS IS A RE-ADVERTISEMENT. PREVIOUS APPLICANTS NEED NOT APPLY.
An exciting opportunity has arisen for a Post-doctoral Researcher with the scientific expertise to undertake the integration, statistical and data science analysis of sleep and circadian rhythm data from two existing cohorts: The INTERGROWTH-21st Project (healthy, low-risk mother-child dyads) and INTERBIO-21st Study7 (medium- to high-risk mother-child dyads) from Brazil, India, Italy, Kenya, Pakistan, South Africa, Thailand and the UK. There will be scope to work in interdisciplinary teams within the research groups in Oxford, and also in collaborating centres in the UK (Southampton) and EU (Sweden), as well as opportunities to connect to clinical studies and research impact initiatives.
The successful applicant will apply inter-disciplinary, state-of-the-art, computational and statistical analytical techniques to (1) setting up an international sleep meta-dataset, combining sleep, fetal, perinatal, and postnatal growth, health, environmental and neurodevelopment data from the INTERGROWTH-21st and INTERBIO-21st cohorts and (2) modelling analyses of the sleep data to examine cross-population differences, interactions with early life (including fetal brain) markers, socio-ecological factors and neurodevelopment.
The post-holder will benefit from mathematical/statistical/data science expertise, and previous experience with the analysis of circular data. The post-holder will have responsibility for (1) integrating the data and constructing the metadataset; (2) designing and implementing the analysis, and (3) writing up reports and publications, as well as managing their own time and resources.
The post-holder will have the opportunity to undertake collaborative work involving leading centres of chronobiological, early child development and perinatal research in the UK and EU.
The suitable candidate must have, or be close to obtaining, a PhD in infant sleep, neuroscience, medical statistics, computational neuroscience, clinical informatics or a closely related field. Experience in the following statistical and mathematical techniques is also essential: Creation and curation of large datasets including wit circular data, Advanced statistical modelling including variance component analysis, and regression analysis and Meta-analysis of data. Experience of planning and implementing a data analysis strategy for a research project, accurate record keeping, excellent communication skills and the demonstrable ability to prepare research articles at an international peer-reviewed level are also essential for this role.
The post is offered on a full-time basis and is fixed term for one year in the first instance (flexible working arrangement at ≥ 0.5 FTE over two years may be considered). However, we expect there will be career development opportunities for the post-holder beyond this first phase of this project.
Applications for flexible working arrangements are welcomed and will be considered in line with business needs.
You will be required to upload a CV and Supporting Statement as part of your online application. Click here for information and advice on writing an effective Supporting Statement.
The closing date for applications is 12.00 noon on Monday 27th November 2023 with interviews expected to take place early-mid December 2023.
Contact Person : Recruitment Administrator Vacancy ID : 169004 Contact Phone : 01865 221002 Closing Date & Time : 27-Nov-2023 12:00 Pay Scale : STANDARD GRADE 6 Contact Email : recruitmen[email protected] Salary (£) : Grade 6: £32,332 - £37,099 per annum