- Conduct descriptive and comparative effectiveness research using a variety of data sources patient-level data from prospective and retrospective observational studies, registries, claims- and EMR- databases, and post-hoc analysis of clinical trial-data; perform (network) meta-analyses of clinical trial results and support cost-effectiveness modeling, across different therapeutic areas.
- Provide statistical expertise at all stages of the design and implementation of observational outcomes projects from planning & design through to completion, in close collaboration with multi-disciplinary research teams:
- provide input into the concept, design and development of observational study protocols to ensure appropriate and scientifically sound methods on study design and analysis are being used.
- develop statistical analysis plans, perform and/or guide analyses
- provide statistical insight in the interpretation and discussion of study results
- contribute to study reports and publications.
- Provide thought leadership in statistics and pharmaco-epidemiology for the EMEA region, ensuring scientific validity and overall quality and accuracy of study results.
- Keep updated with state-of-the-art methodology in line with guidelines from EU HTA bodies. and new developments in statistical methodology and outcomes research.
- Communicate analysis results through internal/external presentations and publications.
- Master's or PHD degree in (applied) statistics, epidemiology, econometrics, health economics or related field with strong methodological and statistical/quantitative background – Candidates with limited working experience or recently graduated/graduating soon will be considered as well.
- Advanced hands-on experience with statistical programming in SAS and/or R.
- Excellent knowledge and hands on skills in applied statistics and data analysis methodology.
- Experience in designing/performing real world outcomes research/comparative effectiveness based on registries, or administrative/EMR databases in a pharmaceutical environment is a plus.
- Analytical creative mind-set with can-do attitude, intellectual curiosity, eager for continuous learning passionate about translating data into business-critical evidence.
- Ability to communicate advanced analysis plans and results in non-technical terms to a non-statistical audience.
- Ability to work independently as well as to collaborate in a multidisciplinary regional team and to manage multiple projects under tight deadlines.
- Good written/oral communication skills, Fluent in English.
Principle statistician – Manager HTA analytics and methods - Community of Madrid, España - J&J Family of Companies
Descripción
Principle statistician – Manager HTA analytics and methods W
Description
Janssen EMEA Market Access is looking for talent to expand capabilities in turning data into evidence using statistics and advanced analytics to support HTA submissions across the EMEA region.
Qualifications
This role can be filled in any central European location.
Primary Location Europe/Middle East/Africa-Belgium-Antwerp-Beerse
Other Locations Europe/Middle East/Africa-Spain-Community of Madrid-Madrid, Europe/Middle East/Africa-Germany-North Rhine Westphalia-Rhein-Kreis Neuss, Europe/Middle East/Africa-Italy-Milano-Milano, Europe/Middle East/Africa-France-Haute-de-Seine-Issy Les Moulineaux, Europe/Middle East/Africa-United Kingdom-England-High Wycombe
Organization Janssen Pharmaceutica N.V
Job Function Health Economics Market Access
Req ID: W