Statistician/Post-doctoral Research Scientist in Epidemiology Team «Epidemiology of ageing and age-related diseases» Inserm U1153, Paris
We would like to recruit a statistician or post-doctorant to join the EpiAgeing team, https://cress-umr1153.fr/index.php/epiageing/. The research in our team is on determinants of ageing outcomes, including decline in cognitive and physical function, and epidemiology of neurodegenerative diseases.
The post involves research on the association of physical activity and sedentary patterns assessed by accelerometers and cardiometabolic outcomes using data from Whitehall II study. The cohort was established in 1985/88, with accelerometers data collected in 2012/13 on 4000 participants aged between 60 and 83 years, clinical measures every 4/5 years since baseline to 2019 and links to hospitalization and mortality registers up to 2019. The aim of this project is to identify physical activity patterns (including time spent in sedentary, light, moderate-to-vigorous activity for different bout durations) that are associated with cardiometabolic profiles and onset of cardiometabolic diseases. This will be done using two approaches: functional data analysis in order to identify the level above which physical activity is beneficial for health; and clustering approach accounting for different dimensions of physical activity and sedentary bouts (duration, levels, breaks, timing). These methods will be used in the context of longitudinal analysis (mixed models and survival analysis). A range of social, behavioural and biological risk factors have been assessed in the study over the past 30 years.
Applicants should have an engineering degree, a Master in advanced statistics or a PhD in epidemiology/statistics, have strong quantitative skills and should be familiar with statistical software (R, STATA) and methods used in longitudinal analysis and analysis of correlated variables such as clustering methods. Previous experience in the epidemiology of physical activity or cardiometabolic health would be appreciated. You will work collaboratively with other scientists within the wider EpiAgeing team. You will participate to the preparation of journal articles for publication of research findings from this work.
This post, initially for a period of 18 months (with possibility of an extension for further 18 months), will be based at CRESS in Paris, under the supervision of Séverine Sabia. The successful applicant will join a dynamic team of researchers, biostatisticians and PhD students.
Salary is based on Inserm guidelines.
Address : Equipe EpiAgeing, Faculté de médecine, 10 avenue de Verdun, 75010 Paris
In order to apply, please send a cover letter and CV to: Séverine SABIA, email: email@example.com