Senior Statistical Programmer

Coronado Research are delighted to be looking for a Senior Statistical Programmer to support our customers. The Senior Statistical Programmer will play a crucial role in the growth of Coronado Research, working with our clients to deliver great results. The successful candidate will be proactive and conscientious in their work, with a customer focused mindset and a highly collaborative attitude, able to work closely with cross-functional teams to ensure effective data collection, manipulation, oversight and analytics-driven decision-making. Key Responsibilities Data preparation: Identify data sources and structure, conducting mapping and integration activities to ensure data availability for downstream activities. Technical set-up: Perform technical configuration of study systems, reports and analysis to collect data and generate insights required to manage study oversight and monitor risks and trends. Statistical insights: Use SAS to deliver statistical insights throughout clinical trials. Anomaly detection: Identify anomalies within clinical trial data using advanced analytical techniques, be able to recognise the importance of those anomalies and explain those anomalies to a non-technical audience. Quality Control: Conduct quality control activities to ensure the integrity of outputs and support the development journey of others through effective communication and analysis of quality control findings. Requirements Analysis: Interpret requests and requirements from stakeholders into technical solutions that deliver high quality results. Study team support: Develop and maintain systems, dashboards, reports, visualizations and analysis ensuring key study insights to support clinical study teams. Stakeholder communication: Collaborate with internal and external stakeholders to communicate data-driven findings and recommendations. Documentation: Ensure that documentation required to demonstrate regulatory compliance are maintained accurately. Regulatory Compliance: Ensure adherence to CDISC, Good Clinical Practice (GCP), ICH guidelines, and regulatory requirements (FDA, EMA)? Industry Best Practices: Stay up to date with emerging trends and best practices in clinical data analytics?. Skills and Experience Required Bachelor's or higher degree in a scientific, technical, or data-driven discipline. Proven experience of working with clinical data. Experience with SAS and other programming languages (e.g. R, or Python) for data manipulation and analysis. Strong knowledge of Good Clinical Practice (GCP), ICH guidelines, and global clinical trial regulations?. Ability to diagnose data discrepancies, apply critical thinking, and generate actionable insights. Excellent logical, analytical and problem-solving skills with a creative and curious approach to help drive innovation?. A conscientious approach to accuracy to ensure data reliability and compliance. Good customer focus, able to prioritise the needs and satisfaction of our customers and address and resolve conflicts constructively, respectfully and with resilience?. Ability to work both independently and collaboratively in a fast-paced, cross-functional environment, and to hold yourself and others to account for appropriate ethical behaviour and inclusivity. Dependable and a commitment to maintaining high data quality standards through a conscientious approach?. Strong communication and interpersonal skills for effective collaboration across teams.?? This is an exciting opportunity for a data-driven professional to make a meaningful impact on clinical research and patient outcomes. If you have a passion for data analytics and clinical research, we encourage you to apply. Please contact David Atkin for more information. #SAS #statisticalprogramming . #J-18808-Ljbffr