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 jnj.com.

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Job Function:

R&D Product Development

Job Sub Function:

R&D Digital

Job Category:

Scientific/Technology

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description:

“An internal pre-identified candidate for consideration has been identified. However, all applications will be considered”

Role Overview

We are seeking a Data Analytics Principal Engineer to lead the strategy, design and delivery of visualization solutions that enable learning, insight, and decision making across scientific and operational domains. In 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 partner across functions to translate scientific and business questions into scalable analytics products and enterprise aligned standards that enable diverse users to explore data and make informed decisions.

Primary Responsibilities

• Lead the strategy, roadmap and delivery of visual analytics and dashboards for both technical and non‑technical audiences, ensuring solutions are scalable, intuitive and aligned with business value.
• Guide requirements gathering from scientists and translating them into clear, actionable inputs for dashboard developers, serving as the communication bridge between scientific users and the application development team.
• Conduct and guide hands‑on 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 on emerging analytics, visualization, and Generative AI (GenAI) technologies
• Identify opportunities for adoption and drive measurable business value through implementation and continuous improvement.

Education Requirements

• Bachelor’s degree or higher in Science, Engineering, or related discipline.
• Minimum of 8 years of relevant industry experience in pharmaceutical, biotech, or related sectors.

Required Experience and Skills

• Demonstrated experience leading visualization and dashboarding product initiatives using tools such as Spotfire, Tableau, Power Apps/Power Automate, or PI Vision.
• Experience working with enterprise or laboratory systems such as instrument control systems, sample management systems, electronic lab notebooks (eLN), and laboratory information management systems (LIMS).

• Strong understanding of  pharmaceutical or life‑science data, including process, analytical, formulation or operational data.
• Experience using query languages such as SQL to interact with structured data.
• Foundational knowledge in 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.

• Proven ability to mentor colleagues, guide technical delivery, and establish standards or reusable practices that improve quality, consistency, and speed of execution.
• Ability to thrive in a fast-paced environment, combining strategic thinking, attention to detail, and structured problem-solving to deliver practical solutions.

Preferred Experience and Skills

• Practical experience with Generative AI or LLM‑based 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, Benchmarking, Consulting, Critical Thinking, Data Structures, Digital Fluency, Digital Strategy, Emerging Technologies, Engineering, Global Market, Negotiation, Organizing, Product Development, Product Improvements, Regulatory Compliance, Research and Development, SAP Product Lifecycle Management, Technologically Savvy

  

 

The anticipated base pay range for this position is:

€79,800.00 - €137,770.00

 

 

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

 

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.