Postdoc Statistics

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. Learn more at

Job Function:

Market Access

Job Sub Function:

Health Economics Market Access

Job Category:

Professional

All Job Posting Locations:

Beerse, Antwerp, Belgium, Breda, Netherlands, High Wycombe, Buckinghamshire, United Kingdom, Issy-les-Moulineaux, France, Madrid, Spain, Milano, Italy, NEUSS, Germany

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at
 

Johnson & Johnson Innovative Medicine is currently seeking for a Postdoctoral Fellow in Statistics . Preferably, the candidate will be located in Beerse, Belgium, but other European countries are possible. The duration of the Postdoctoral Fellow program is 3 years but can vary depending on the location.

We are seeking a highly motivated, conscientious, and diligent statistician who is flexible, dynamic, and able to work well in collaborative, cross-functional teams. The Postdoctoral Fellow will receive comprehensive trainings on conducting 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 by our internal experts.  In addition, he/she will work with the team members and other market access functions to

• Perform statistical analyses in R and configure R shiny applications to present and visualize high volume of results across different research studies.
• Provide statistical insight in the interpretation and discussion of study results.
• Contribute to writing study reports and publications.

Qualifications

• Candidates must have a recent or expected Doctorate Degree (e.g., Ph.D.) in (applied) statistics, epidemiology, data science, bioinformatics, econometrics or related field with strong methodological and statistical/quantitative background.
• Experience in analyzing real world outcomes research/comparative effectiveness based on registries, or administrative/EMR databases in a pharmaceutical environment is a plus.
• Advanced hands-on experience with statistical programming in R with good knowledge of R packages such as flexsurv, survival, ggplot2, dplyr, tidyverse, , shiny among others.
• Analytical creative mind-set with can-do attitude, intellectual curiosity, eager for continuous learning passionate about translating data into business-critical evidence.
• The candidate must be self-motivated, productive, and team-oriented, with proven scientific problem-solving skills with an interest in the international context of healthcare systems and technology assessment.
• The candidate must also have excellent verbal and written communication skill.
• A strong alignment with ethical principles in Our Credo and a desire to be vital within a company where people care about patients and want to make a difference in global healthcare is essential.

Required Skills:

Statistical Programming

Preferred Skills:

Budget Management, Business Behavior, Business Savvy, Coaching, Customer Intelligence, Data Analysis, Go-to-Market Strategies, Health Economics, Health Intelligence, Innovation, Market Knowledge, Market Opportunity Assessment, Market Research, Market Savvy, Performance Measurement, Pricing Strategies, Problem Solving, Product Knowledge, Relationship Building