Statistician – Manager HTA analytics and methods

• 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.

Johnson & Johnson