Experienced Stat Programmer

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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.

• 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.

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