Job title:
Post-doctoral research scientist : Evaluation of the determinants of disability and its evolution towards death from a «whole life» approach
Company:
Job description
Offer DescriptionContextThis offer is part of the research project “Social, Economic and Mathematical Approach to Autonomy in Aging” (Models_of_Autonomy) aimed at considering innovative, sustainable approaches to healthy aging. Indeed, the ageing of populations is accompanied by an increase in the share of the elderly and a decrease in that of the active, It is clear that this has a strong impact on the French redistributive system where the assets finance their retired counterparts. The main objective of this project is therefore to identify the determinants and prevention policy choices that would improve the autonomy of older people, with an approach that explicitly takes into account socio-economic heterogeneity, behavioural and health in the population.Funded by the call for projects «Autonomy: aging and disability situations (2nd wave)» launched under the France 2030 plan by the National Research Agency (ANR), this interdisciplinary program involves epidemiologists, statisticians, economists, mathematicians and computer science experts from Université Paris Cité and ENS Paris Saclay. It is coordinated by Mrs Archana SINGH-MANOUX (Research Director, Centre de Recherche en Epidémiologie et StatistiqueS, CRESS UMR 1153, EpiAgeing team), as scientific coordinator, and by the Paris Public Health Institute (PPH), interdisciplinary and transfacultaire institute of Paris Cité University.The work associated with the research project is divided between three scientific teams, each with considerable expertise in their respective fields to develop disability prevention programs. The first team consists of researchers from the EpiAgeing team ( ) and the I3SP team ( ). This team will focus on the determinants of disability in aging and the health transitions to death observed from a whole-life approach. The second team led by LIRAES researchers ( ) will conduct research to develop the use of a tool to measure well-being in economic assessments, ICECAP (Investigating Choice Experiments Capability) from a national survey on French preferences for the different dimensions of the questionnaire. The third and final team is under the responsibility of the Borelli Centre ( ) which will work on modelling aging.Job SummaryThis 48-month postdoctoral project aims to develop knowledge of the factors contributing to health changes observed during aging and leading to disability and death, within a conceptual framework of a «whole life» approach. The objective is to estimate the contribution of several factors, which may be the subject of public health interventions, in these health transitions by integrating the concepts of a broad set of aging indicators such as fragility and multimorbidity.The postdoctoral researcher will have the following missions: * Examine the place of heterogeneous risk factors (social, behavioural, biological, contextual) in health transitions until disability or death to identify targets for potential interventions in the causal chain and clarify their temporality in the aging process.
- Determine the role of frailty and multimorbidity in health transitions to disability or death.
- Identify factors contributing to the heterogeneity of healthy aging that can be targeted by public policies, including accessibility to the health system throughout the health transitions observed during aging.
Presentation of the managementThe position is attached to the Inserm U1153 unit, EpiAgeing team, co-directed by Archana Singh-Manoux and Séverine Sabia. The EpiAgeing team is an academic research unit, Inserm, of the laboratory CRESS (Research Center in Epidemiology and Statistics)The EpiAgeing team includes several researchers, clinicians, PhD students, post-doctoral fellows, and statisticians. The team studies the theme of aging from large databases and cohorts by developing mainly epidemiological approaches. The postdoctoral fellow will be part of the research axis of the EpiAgeing team targeting health transitions linking disability, multi-morbidity and fragility during aging, with a life course approach.RequirementsResearch Field Medical sciences » Epidemiology Education Level PhD or equivalentResearch Field Medical sciences » Health sciences Education Level PhD or equivalentSkills/QualificationsKnowledge:
- Concepts and methods of public health adapted to the themes of aging and epidemiology.
- Statistical analysis methods adapted to large health databases, their harmonization and longitudinal follow-up of participants.
- Knowledge in the field of disability, intervention programs in Public Health.
This knowledge should be enhanced by scientific articles in peer-reviewed journals on the theme of aging.Expertise – Operational Competencies:
- Proficiency in R and Stata software
- Longitudinal and transition data analyses
- Experience in analyzing large medical databases and considering missing data
- Methodology of documentary research
- Writing scientific articles for peer-reviewed international journals
- Oral and written English skills
Soft Skills – Behavioural Competencies:
- Scientific rigour and organizational skills
- Sense of human relations
Specific RequirementsPhD in epidemiology, public healthLanguages ENGLISH Level ExcellentAdditional InformationSelection processPour proposer votre candidature, envoyez votre CV et lettre de motivation par mail en rappelant la référence de l’offre àAdditional commentsEncadrement :Ce projet sera supervisé conjointement par Archana Singh-Manoux et Séverine Sabia, directrice de recherche Inserm.Localisation du poste :Unité 1153 Equipe EpiAgeing : Site Villemin, 10 Avenue de Verdun,75010 ParisWork Location(s)Number of offers available 1 Company/Institute CRESS 1153 Inserm EpiAgeing Team Country France City PARIS Postal Code 75010 GeofieldWhere to apply E-mail[email protected]Contact CityParis WebsiteStreet86, rue Regnault Postal Code75013STATUS: EXPIRED
Expected salary
Location
Paris
Job date
Fri, 01 Mar 2024 07:48:53 GMT
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