Senior/ Principal Statistical Programmer - Oncology

Job Description

Employees may be required to perform some or all of the following: Program and validate datasets and SDTMs, including complex efficacy, labs, etc. Become independent technical expert Program complex non efficacy outputs/ figures Perform Senior Review and Deliver QC of non- statistical output Become involved in developing the standard macro library and take responsibility to implement standard macros within a study Validate and perform User Acceptance Testing (UAT) on standard macros Identify macros requirements, communicate and perform training Create, QC and update complex dataset specifications (including efficacy) for single/ multiple studies, ISS/ISEs, etc Implement and coordinate development and maintenance of PHASTAR standard specifications Be an SDTM and ADAM expert providing consultancy, advice and training Be an CRT expert providing consultancy, advice and training Be aware of up and coming changes to CRT and define.xml standards and regulatory guidelines and requirements Implement and coordinate the development and maintenance of PHASTAR CRT tools Become familiar with and follow study documentation Initiating projects and ideas for furthering programming development Ensure the principles in the PHASTAR checklist are followed rigorously Develop archiving systems and processes Act as a Lead programmer on multiple studies and project, ensuring quality and timely delivery Liaise with Study Statistician and Project Manager regarding resourcing and deliverables Responsible for study level resources Attend and input to company resourcing meeting Point of contact for programming issues for the team, proactively ensuring everything is working cohesively Persuade stakeholders to follow best practice within a trial Develop and deliver company-wide training as and when required Identify areas where new processes are required Create, review and update processes and SOPs Take responsibility for study compliance with SOPs and processes Qualifications Educated to BSc or above within Computer Science, Mathematics or a Science related discipline SAS Programming Experience within the pharmaceutical industry Good awareness of clinical trial issues, design, and implementation. Experience of regulatory submissions and associated industry guidance Familiarity with GCP and regulatory requirements Knowledge of SDTM and ADaM CDISC standards