Manager HTA Analytics

Beerse, Belgium / Rhein-Kreis Neuss, Germany.

Other locations: Madrid, Spain; Milano, Italy; Issy Les Moulineaux, France; High Wycombe, UK; Zug, Switzerland.

Janssen EMEA Market Access is looking for talent to expand capabilities in turning data into evidence using statistics and advance R-shiny based tools to effectively support HTA submissions across the EMEA region.

  • Building advanced R shiny applications to efficiently support evidence generation activities of market access analytics and health economics modelling teams
    • provide input into the concept, design and architecture of new applications
    • write, review and improve R code using git practices
    • document processes to stay on track of code development
    • ensure overall quality, accuracy and performance of the tools.
  • Creative in proposing ideas and solutions to meet business needs
  • Contribute to performance optimization on different levels (frontend, backend, RStudio Connect infrastructure).
  • Maintaining and extending existing available Shiny applications with advanced functionalities and visualizations – make efficiency improvements where possible.
  • Provide training on the use and configuration of shiny applications.
  • Perform analyses and configure shiny applications to be used in different studies across therapeutic areas.
  • 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.

Qualifications 

  • 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 R with good knowledge of R packages such as flexsurv, survival, ggplot2, dplyr, tidyverse, data.table, shiny among others.
  • Highly experienced in developing R shiny applications with the use of shiny modules.
  • Advanced knowledge of R markdown
  • Strong analytical and problem-solving skills
  • Excellent troubleshooting, project management and communication skills
  • Excellent knowledge and hands on skills in applied statistics and data analysis methodology.
  • Experience in analyzing 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.

This role can be filled in any central European country.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

This job is posted by Johnson & Johnson.

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