Post-doctoral Research Fellow in Infant Sleep Science

An exciting opportunity has arisen for a Post-doctoral Research Fellow with
the scientific expertise to undertake the integration and, statistical
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 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 epidemiological/statistical/data science
expertise. The post-holder will have responsibility for (1) integrating the
data and constructing the metadataset; (2) designing and implementing the
analysis, (3) writing up reports and publications, and (4) communicating
results with a range of audiences, 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
neuroscience, sleep science, child psychology, epidemiology, biostatistics or
a closely related field. Experience in the following data management and
statistical techniques is also essential: Creation and curation of large
datasets, advanced statistical modelling including variance component
analysis, 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. 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: CV and Supporting Statement | Oxford
University Jobs





The closing date for applications is 12.00 noon on Monday 4th March 2024.