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description de la société
Caring for the world, one person at a time, inspires and unites the people of Johnson & Johnson. We embrace innovation - bringing ideas, products and services to life to advance the health and well-being of people around the world. We believe in collaboration which has led to breakthrough after breakthrough, from medical miracles that have changed lives, to the simple consumer products that make every day a little better. Our over 125,000 employees in 60 countries are united in a common mission: To help people everywhere live longer, healthier, happier lives.
The Clinical Data Management department supports worldwide all data management activities through the different clinical development phases, from phase 0 to phase IV. We translate the clinical study protocols into user-friendly data capture tools and integrate the different data streams into standardized datasets. We ensure data completeness and data integrity through an ongoing data curation process. In the end we are responsible for transforming data into analysable information which builds our knowledge to get new drugs to the market quicker to serve high unmet medical needs. In the Clinical Data Management department, we currently have an internship position for a data scientist (m/f).
description de la fonction
We are looking for a Data Scientist who is keen on using data driven insights to optimize the clinical data flow process contributing to accelerated drug development
Being a highly regulated environment, we tend to be more risk averse in the pharmaceutical industry, collecting more data points than consumed and analysed. Our aim is to become a more metadata driven organization being able to demonstrate what data points are optimal for our data collection and data curation process and what is non-value added. Success in this role includes performing a programmatic retrospective analysis of our global standard safety domains which data points were collected but never been used in analysis to drive decisions.
In collaboration with cross-functional partners in data management, clinical data standards, statistical programming and biostatistics, findings from the retrospective analysis will result a recommended optimization of global standard safety domains and suggested redesign of the relevant process steps would be suggested in order to account for this pro-actively.
Responsibilities and duties: - The candidate would need to learn the global safety domain collection and analysis standards, current data process and interdependencies between different functions. - Supported by a mentor, the candidate would suggest how to conduct the retrospective analysis, perform the analysis and make conclusions. - Supported by a mentor, the candidate would make a recommendation how to incorporate this knowledge pro-actively in our global safety standards and process steps. - The candidate works closely together with cross-functional partners to gain further insights and ensure different perspectives are considered.
Qualifications: - Highly motivated and has a strong analytical mindset and is data minded. - Able to navigate in a cross-functional global environment building key relationships. - Fluent in English both in writing and in speaking. - Excellent communication and presentation skills. - Basic understanding of process design. - Can quickly learn and absorb new information. - Knowledgeable on how to interpret database structures. - Prefereably, the candidate is knowledgeable in programming languages like SAS, R, Python, etc. - It would be an advantage if the candidate has previous experience working with clinical data.
Practical details - Location: Beerse - Duration: 4 months - Timeframe: flexible between March and September 2019 - Others: duration and timing can be discussed
Requirements: The candidate must be a registered student for the entire course of the internship. Unfortunately, graduates that are currently not enrolled in a study program are not eligible for this internship. If you are interested in applying for this challenging internship, please send an e-mail to RA-RNDBE-InternBelg@ITS.JNJ.com, including your resume and a short motivation.