We are looking for an enthusiastic and highly motivated Senior Research Fellow in Biosocial & Digital Research to work on the ERC Advanced Grant CHRONO research project led by Professor Melinda Mills at the Leverhulme Centre for Demographic Science (LCDS), University of Oxford.
The ERC project is embedded within the new and vibrant research LCDS centre (www.demographicscience.ox.ac.uk), an interdisciplinary centre physically located in the Department of Sociology. This ERC grant examines how disrupted environments, employment and family lives are related to health and demographic outcomes. Lives have been disrupted by the widespread use of electronic devices, artificial light but also recent COVID-19 transformations to work, family and life patterns.
This project fuses biological and social approaches to examine the role of biology, genetics, the natural and social environment and their interaction on predicting and understanding resilience in working and living conditions and how this relates to health and family outcomes. The project will draw on existing and new biosocial data in addition to novel digital data that combines multiple data types with social and natural environmental measures using a variety of statistical approaches.
The postholder does not need to hold skills in all areas listed above and can be specialised in one or more areas (e.g., biostatistics, or expertise in data analysis in the area of genetics, social media, wearables, chronotype, labour market, complex family data). Openness to novel approaches, curiosity, creativity, strong writing and data analysis, programming and data visualisation skills and enjoyment of working as part of scientific team is a must. The postholder will be a senior member of the ERC CHRONO research team with leading responsibility and provide advice and guidance to junior members in the research group. The post holder will also have the opportunity to develop their own independent research projects within the broad theme of the ERC Grant.
Applicants should hold a PhD in biostatistics, statistics, genetics, biology, demography, epidemiology, computer science, demography, economics, sociology or another relevant discipline. You will have experience handling and analysing at least one type of complex data (e.g., genetic, digital, wearables), and interest in developing skills further. Excellent written and verbal communication skills are essential as well as ability to work both independently and as part of team within the project. Openness to learning new skills and applying different disciplinary approaches is a must.
This is a full-time, fixed-term appointment until 31st October 2024, commencing as soon as possible and no later than 1st September 2021.
The closing date for applications is 12:00 noon UK time on Monday, 17th May 2021.
You will be required to upload a CV, covering letter outlining why and how you fit the job criteria and how your experience is related to this position, a sample of written work, and details of three referees as part of your online application. Referees will only be contacted if candidates are shortlisted for an interview.