Data Analytics Scientist
Job Summary
At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .
As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
R&D Product DevelopmentJob Sub Function:
R&D DigitalJob Category:
Scientific/TechnologyAll Job Posting Locations:
Beerse Antwerp BelgiumJob Description:
Role Overview
We are seeking a Data Analytics Scientist to design and deliver visualization solutions that enable learning insight and decision making across scientific and operational this role you will apply analytics and data science methods to complex high-dimensional scientific and operational data to support both development and commercial processes within the Johnson & Johnson Innovative Medicine organization. You will work with cross-functional partners to translate scientific and business questions into analytics solutions that enable diverse users to explore data and make informed decisions.
Primary Responsibilities
Design clear intuitive visual analytics and dashboards for both technical and nontechnical audiences including defining the visualization strategy and roadmap.
Gather requirements from scientists and translate them into clear actionable inputs for dashboard developers serving as the communication bridge between scientific users and the application development team.
Conduct handson data discovery by writing queries (e.g. SQL) to explore database content and determine how to extract join filter and structure data for use in visualizations.
Collaborate with partners across Therapeutics Development to establish and apply advanced analytics and machine learning best practices that ensure robustness reproducibility and alignment with enterprise standards.
Coach and support colleagues in the effective use of visualization tools as part of everyday product and process development.
Stay current with emerging analytics visualization and Generative AI (GenAI) technologies and support business value realization through measurable outcomes and adoption.
Education Requirements
Bachelors degree or higher in Science Engineering or related discipline.
Required Experience and Skills
Experience with visualization and dashboarding tools such as Spotfire Tableau Power Apps/Power Automate or PI Vision.
Familiarity with enterprise or laboratory systems such as instrument control systems sample management systems electronic lab notebooks (eLN) and laboratory information management systems (LIMS).
Exposure to pharmaceutical or lifescience data including process analytical or formulation data.
Experience using query languages such as SQL to interact with structured data.
Foundational knowledge of statistical analysis and machine learning.
Demonstrated ability to communicate effectively in fluent English both written and verbal to diverse audiences.
Organizational and project management skills balancing multiple complex projects across global teams in agile environments (e.g. JIRA Confluence) with effective customer management.
Strong interest in digital transformation and continuous improvement with a mindset for innovation.
Ability to thrive in a fast-paced environment combining agility attention to detail and structured problem-solving to deliver practical solutions.
Preferred Experience and Skills
Practical experience with Generative AI or LLMbased systems including prompt design output evaluation and integration into analytics solutions.
Experience implementing data quality checks and testing strategies to ensure reliable and trustworthy analytics and outputs.
Required Skills:
Preferred Skills:
Analytical Reasoning Critical Thinking Data Savvy Digital Fluency Digital Strategy Engineering Product Design Product Development Product Improvements Product Portfolio Management Report Writing Research and Development Safety-Oriented SAP Product Lifecycle Management Statistics Technical Credibility Technologically SavvyRequired Experience:
IC
Key Skills
About Company
About Johnson & Johnson A t Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 130 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s larges ... View more