U-089 - EMEA Manager Market Access Analytics and Health Economics Modelling

U-089 - EMEA Manager Market Access Analytics and Health Economics Modelling

07 nov
Johnson & Johnson

07 nov

Johnson & Johnson


Janssen EMEA Market Access is looking for talented people in turning data into evidence using statistics, advanced analytics and cost-effectiveness modeling, to expand capabilities to support Market Access in the EMEA region.

- 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.

- Conduct descriptive and comparative effectiveness research using a variety of sources of large amounts of patient-level data from prospective and retrospective observational studies, registries, claims- and EMR- databases, and exploratory analysis of clinical trial-data; perform (network) meta-analyses of clinical trial results and support & develop cost-effectiveness modeling, across different therapeutic areas.

- Provide thought leadership in statistics and pharmaco-epidemiology for the EMEA region, ensuring scientific validity and overall quality and accuracy of study results.

- Optimize methodological expertise: maintain professional statistical standards by keeping track of new developments in statistical methodology and outcomes research, through literature review and attendance/participation at workshops and professional meetings.

- Communicate analysis results through internal/external presentations and publications.

- Contribute to spreading best practices / lessons learned within the region


- 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.

- 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.

- Solid hands-on experience with statistical programming language, by preference SAS and R.

- 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.

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