Function
Data Analytics & Computational Sciences
Sub function
Clinical Data Management
Category
Experienced Analyst, Clinical Data Management (P5)
Location
High Wycombe / United Kingdom
Date posted
May 27 2025
Requisition number
R-014697
Work pattern
Hybrid Work
Description
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

QUALIFICATIONS/REQUIREMENTS:

• Bachelor’s degree (e.g., BS, BA) or equivalent professional experience is required, preferably in Clinical Data Management, Health, or Computer Sciences. Advanced degrees preferred (e.g., Master, PhD).
• Experience working in a multi-functional environment and ability to adapt to different ways of working.
• Proven track record of effective communication skills, including strong verbal and written communication, influencing, and partnering skills.
• Demonstrated experience working with external data providers, clinical data, and data structures within a clinical study/research setting.
• Good understanding of the overall drug development process and GCP/ICH guidelines.
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• Collaborate cross-functionally and with external data providers to understand the purpose of data collected, align data availability and consumption requirements, and drive optimal data acquisition solutions.
• Analyze data and content from external data streams and propose efficient pathways to acquire and integrate relevant data.
• Lead the development and setup of traditional and novel data streams and related documents within assigned scope.
• Participate in continuous improvement initiatives contributing to innovation and the maturation of an industry leading data acquisition capability.
• Actively contribute to the shaping of the organization, improving re-usability, efficiency, and consistency of tools and processes across studies and therapeutic areas.