At Coronado Research, we are delighted to be expanding our Programming team and so we are looking for Programmers with SAS and R, as well as good customer management skills. The Statistical Programmer III is responsible for providing statistical programming support within Coronado Research, to a high level. This role primarily involves using SAS and R to create and validate datasets and tables, listings, and figures (TLFs) for clinical trial projects. The Statistical Programmer III will work closely with other programmers and biostatisticians to ensure the accuracy and integrity of clinical trial data and may also mentor junior programmers. There is an expectation to start developing project leadership skills, by taking on a role as shadow Lead Programmer. Duties and Responsibilities Program safety and efficacy SDTM/ADaM datasets in compliance with CDISC standards, including RECIST SDTM domains. Develop SAS programs to produce safety and efficacy TLFs and other statistical outputs. Perform quality control (QC) checks on all safety SDTM/ADaM datasets and TLF outputs; ensure the accuracy and consistency of clinical trial data. Create and QC all safety SDTM/ADaM specifications; review and update efficacy domains. Create DefineXML files and validate in tools such as Pinnacle21. Collaborate with programmers and biostatisticians to understand project requirements and contribute towards deliverables. Ensure adherence to programming best practices, company SOPs, and regulatory guidelines. Identify areas within programming for potential process improvement and work on internal initiatives to improve functional efficiencies and practices Mentor and provide guidance to junior programmers. Create and implement project-specific macros. Review Statistical Analysis Plans (SAP) and provide feedback on programming concepts. Act as shadow lead programmer for a single study and attend customer meetings alongside the Lead Programmer. Essential Core Competencies A good understanding of basic SAS coding procedures and a developing understanding of more advanced practices. Strong analytical and problem-solving skills. Attention to detail with a focus on quality and accuracy. Ability to work independently and as part of a team. Strong communication and interpersonal skills. Understanding of clinical trial data and regulatory requirements. Other Great Skills Familiarity with CDISC standards. Worked with Real World Data. Ability to manage multiple tasks and projects simultaneously. Strong organisational skills. Education and Experience: Bachelor's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field. Minimum of 3 years of experience so you are confident in SAS and R programming, preferably within a CRO or pharmaceutical company. Knowledge of clinical trial processes and data management. Experience with other programming languages (e.g. Python) is beneficial. SAS Rprogramming statisticalprogrammer SASprogrammer CDISC