Requirements • Minimum of a Bachelor’s degree or higher and/or equivalent in computer science, mathematics, data science/analytics, public health or other relevant scientific field (or equivalent theoretical/technical depth). • Approximately 4-6 years relevant programming experience with increasing responsibility, preferably in a pharmaceutical/Clinical R&D environment or field. • In depth knowledge of data structures and relevant statistical programming languages. May include SAS, R, Python etc. Knowledge of SAS and R preferred. • Working knowledge of processes and concepts relevant to Statistical Programming. • Basic knowledge of relevant regulatory guidelines (e.g. ICH-GCP) and relevant clinical R&D concepts. • Demonstrated written and verbal communication skills. • Experience working in a team environment. For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world’s most pressing healthcare challenges. We know that the success of our business – and our ability to deliver meaningful solutions – depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential. At Johnson & Johnson, we all belong. Johnson & Johnson are currently seeking an Experienced Statistical Programmer to join our Integrated Data Analytics & Reporting (IDAR) Department. This position is based in High Wycombe (Hybrid). Remote work options in the UK may be considered on a case-by-case basis and if approved by the company. 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/. Position Summary 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. 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 position. • May contribute to departmental innovation and process improvement projects.