by LISTSERV.REDIRIS.ES (LISTSERV-TCP/IP release 16.0) with spool id
13555706 for [log in para visualizar]
; Tue, 10 Nov 2020 19:52:19
from lsv.rediris.es (lsv.rediris.es [126.96.36.199]) by
listserv.rediris.es (Postfix) with ESMTP id B8A49234FE; Tue, 10 Nov
2020 19:52:19 +0100 (CET)
Tue, 10 Nov 2020 19:52:19 +0100
The candidate will join Health Technology Assessment in Primary Care and Mental Health (PRISMA) Research group (https://www.irsjd.org/en/research/36/health-technology-assessment-in-primary-care-and-mental-health-prisma)
PRISMA research lines are focused in health interventions designing and assessment and health economics, specifically, preventive strategies, drug use and adherence and healthy lifestyle interventions focused on high prevalence diseases which also have social impact as mental cardiovascular diseases. PRISMA research group has research expertise in several research techniques as real world data analysis, economic evaluation and qualitative research.
The candidate will join the project “Effectiveness and cost-effectiveness of the Initial Medication Adherence intervention: cluster randomized controlled trial and economic model” founded by ERC Starting Grant. The candidate main task is to assess the intervention cost-effectiveness using data from a cluster RCT and economic modelling.
Other research projects where PRISMA is involved are:
Drug adherence estimation and assessment Real World Data.
Cost of illness studies
Health intervention economic evaluation
Health policies assessment
Qualitative exploration of reasons for medication non-initiation in paediatric population
PhD in health science (Pharmacy, Medicine, Nursing, Psychology, Health services) with experience in health economics OR
PhD in economics with experience in health sciences.
Excellent written and oral communication skills in Spanish and English
Knowledge in clinical research methodology (observational studies, clinical trials).
Experience in health economic modelling
Experience in health technology assessment
Experience in real world data analysis will be valued
Experience in economic modelling software (e.g. TreeAge) will be valued.
Knowledge in qualitative research will be valued.
Knowledge in statistics and statistical software (SPSS, STATA, SAS, R, etc) will be considered.
International mobility will be considered.
Ability to work in a dynamic team environment.
Skills for writing, editing, and submitting manuscripts/abstracts/reports detailing the results of the projects.
Good organizational skills and excellent attention to detail.
The candidate will have the opportunity of developing research stays in national and international institutions which have agreements with the research group.
There will be gender balance in the selection panel.
More information: https://careers.talentclue.com/node/65920113/?public=1