Automation & Tools Statistical Programmer Global Pharma UK remote based About the Role We are looking for a Statistical Programmer in Tools & Automation to join our innovative team and help drive the future of programming and process efficiency in clinical research. This is not a traditional programming role: you will design and implement automation frameworks, develop internal applications, and … build proof-of-concept solutions that enhance scalability, speed, and compliance across projects. Key Responsibilities Develop and maintain automation frameworks and internal tools that streamline statistical programming workflows. Design, prototype, and implement applications that improve efficiency and scalability. Support automation of CDISC-compliant workflows (SDTM, ADaM, TLFs). Collaborate with cross-functional teams to identify opportunities for innovation and … process improvement. Maintain and extend statisticalcomputing environments, with integration of SAS, R, and Python-based solutions. Drive continuous improvement through documentation, knowledge sharing, and best practice adoption. What We’re Looking For 8+ years of experience in SAS programming, with proven expertise in CDISC standards (SDTM, ADaM, TLFs). Strong interest and demonstrated ability in automation and More ❯
identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital … cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. More ❯
identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital … cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. More ❯
identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital … cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. More ❯
identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital … cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. More ❯
