Principal Scientist – Data Science, Real World Evidence (RWE)

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 https://www.jnj.com

Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Science

Job Category:
Scientific/Technology

All Job Posting Locations:
Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain

Job Description:

Johnson & Johnson Innovative Medicine, R&D Data Science and Digital Health team is recruiting a Principal Scientist – Data Science, Real World Evidence (RWE).  This position has a primary location of either Barcelona or Madrid, Spain. Hybrid position.

 

J&J Innovative Medicine develops treatments that improve the health of people worldwide.

Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology.

Our goal is to help people live longer, healthier lives.

We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals.

To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ 

The R&D Data Science RWE team within J&J Innovative Medicine develops innovative solutions leveraging a variety of different data sources across multiple disease areas in support of key clinical programs.

Successful candidates will develop cutting-edge methodologies to develop RWD-based solutions to enable disease insights, improve patient outcomes, and enhance clinical development.

The Principal Scientist, RWE, will work closely with strategic partners within Data Science and Digital Health and multi-disciplinary teams within J&J Innovative Medicine R&D to develop and deploy cutting-edge solutions to our clinical programs. 

Key Responsibilities: 


* Lead and contribute to the development of statistical/machine learning models in health and healthcare (e.g., disease identification, patient stratification, disease progression, clustering, simulations, forecasting) based on RWD that will provide key insights to our pipeline assets. 



* Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data (electronic health records, clinical development data, insurance claims, registries, others).  



* Deliver scalable analytical/machine learning solutions and insights to impact functions and therapeutic areas within R&D and participate in cross-functional collaborations with internal s...