Principal Statistical Programmer

Role Overview

• Collaborates with the study teams to design data structure and specifications for ad hoc and study deliverables including, but not limited to ADaM datasets, Tables, Figures, Listings and Analysis Submission content
• Collaborates with study teams to ensure the quality and accuracy – thus submission readiness – of clinical data as required by authorities (i.e. SDTM, ADaM, tables, figures, listings, define.xml)
• Leads and oversees requested efforts for pooled and exploratory analyses working closely with Statistics TA lead and/or study statisticians as well as with clinical programming team and their collection of legacy data
• Leads and oversees the in-house specification and delivery of ISS and ISE datasets and associated output (tables, figures and listings) when not provided by CRO
• Leads and oversees the design and implementation of complex SAS programs for applications designed to analyze and report complex clinical trial data in CDISC ADaM format
• Leads and oversees the development of global tools that will increase the efficiency and capacity of the Statistical Programming group
• Works closely with clinical study teams to plans and executes activities to ensure project timelines are met with high quality deliverables
• Collaborates with CR&D staff regarding data analysis requests
• Performs additional statistical analyses including but not limited to: o Support responses to regulatory agencies o Generate integrated summary of safety and efficacy o Support publications and presentations o Support planning and reporting of clinical trials via exploratory analyses of available data

Requirements

• BSc in Computer Science, Mathematics, Statistics or related area with relevant experience
• At least 7 years of experience in either clinical programming and/or statistical programming, within the CRO/pharmaceutical environment using SAS Software
• In depth understanding of clinical programming and/or statistical programming processes and standards
• Extensive experience with statistical programming using the SAS software including development and use of SAS Macros.
• Strong programming and problem-solving skills
• Trained / hands on experience of R Programming
• Advanced knowledge in CDISC standards (CDASH, SDTM, ADaM)
• Proven experience in leading programming activities for pooled and exploratory analyses across multiple clinical studies and submission activities (or equivalent)
• Proven ability to work effectively both independently or in a team setting, and to meet set goals by managing own timelines
• Experience working in cross-functional, multicultural and international clinical trial teams

Benefits

• Collaborate with industry leaders on projects at the forefront of clinical innovation
• Gain exposure to a variety of therapeutic areas, indications, and phases
• Career development opportunities to grow as we grow
• AI‑powered career advancement through our internal talent marketplace, Career Connections
• Mentorship opportunities across the organisation via Employee Resource Groups
• Flexible working to assist work–life balance and professional success