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Johnson & Johnson in Buckinghamshire, United Kingdom, seeks an Experienced Statistical Programmer who supports the analysis and reporting of clinical data within the Statistical Programming team. You will apply statistical programming methods, ensure timely, high-quality deliverables, and work across projects.
This role is an individual contributor position requiring deep knowledge of SAS programming, GCP, and data structures, with collaboration across biostatistics and cross-functional teams to
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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