Experienced Stat Programmer

At Johnson & Johnson, we believe health is everything and are committed to an inclusive work environment. The Experienced Statistical Programmer will support data analysis and reporting activities within the Statistical Programming functional area. This role is responsible for the development, verification, and documentation of code used for the analysis and reporting of clinical data and is accountable for the timeliness and quality of assigned deliverables.

Job Details

Job Function: Data Analytics & Computational SciencesJob Sub Function: BiostatisticsJob Category: Scientific/TechnologyLocation: High Wycombe, Buckinghamshire, United Kingdom

Role and Responsibilities

• Designs and develops statistical programs in support of clinical research analysis and reporting activities.
• Performs appropriate quality control and verification in support of assigned clinical research analysis and reporting activities.
• Maintains statistical programming documentation as appropriate.
• Completes programming tasks of medium to high complexity with high quality and timeliness of deliverables.
• Performs activities in compliance with departmental processes and procedures.
• Collaborates effectively with statistical programming and cross‑functional team members and counterparts to achieve project goals.
• Critically reviews requirements and data, identifies gaps, proposes solutions, and applies expertise to improve efficiency of programming tasks and/or improve overall quality of programming deliverables.
• Ensures continued compliance with required company and departmental training, time reporting and other business/operational processes as required for the position.
• May contribute to departmental innovation and process improvement projects.

Required and Preferred Skills

• Advanced Analytics
• Analytical Reasoning
• Biological Sciences
• Biostatistics
• Clinical Trials
• Data Modeling
• Data Privacy Standards
• Data Quality
• Data Savvy
• Detail‑Oriented
• Good Clinical Practice (GCP)
• Report Writing
• Research Ethics
• Researching
• Statistical Analysis Systems (SAS) Programming
• Statistics
• Technologically Savvy

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