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Johnson & Johnson Innovation in High Wycombe seeks an Experienced Statistical Programmer to contribute as an individual programmer within a dynamic team.
The role covers development, verification and documentation of code for clinical data analysis and reporting, with emphasis on timeliness and quality across projects.
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.
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.
Data Analytics & Computational Sciences
Biostatistics
Scientific/Technology
High Wycombe, Buckinghamshire, United Kingdom
The Experienced Statistical Programmer is an individual contributor with in-depth knowledge of statistical programming methods, languages and data structures who supports data analysis and reporting activities within the Statistical Programming functional area in accordance with departmental processes and procedures.
This position is accountable for the development, verification, and documentation of code used for the analysis and reporting of clinical data and is responsible for the timeliness and the quality of assigned deliverables supporting clinical projects and submissions.
This position is a member of a programming team, capable of supporting programming activities of medium to high complexity with minimal guidance.
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