Senior Statistical Programmer

Role Overview: As a Senior Statistical Programmer, you will be providing advanced technical expertise to develop process methodology for the department to meet internal and external client needs. Your role will involve planning and coordinating the development of integrated programming solutions to cater to the full spectrum of statistical programming needs. Your leadership and technical expertise will be crucial in providing internal consulting services, including specifications and user needs analysis for complex projects or client requirements. Key Responsibilities: - Perform, plan, coordinate, and implement programming, testing, and documentation of statistical programs for creating statistical tables, figures, and listings. - Develop analysis datasets and transfer files for both internal and external clients. - Conduct programming quality control checks for source data and report data issues periodically. - Interpret project requirements and develop programming specifications for complex studies. - Collaborate with internal and external clients to bring project solutions to the Statistical Programming team. - Act as a technical team lead for single complex studies or a group of studies. - Communicate effectively with statisticians and clinical team members to ensure understanding of requirements and project timelines. - Estimate programming scope, manage resource assignments, and communicate project status to stakeholders. - Promote the use of established standards, SOPs, and best practices. - Provide training and mentoring to team members and department staff. Qualifications: - Master's or Bachelor's Degree in Mathematics, Computer Science, or Statistics. - 7+ years of relevant experience. - Equivalent combination of education, training, and experience in lieu of a degree. - Advanced knowledge of statistics, programming, and clinical drug development processes. - Proficiency in computing applications such as Base SAS, SAS Graph, and SAS Macro Language. - Strong organizational, interpersonal, leadership, and communication skills. - Attention to detail, aptitude for mathematical calculations, and problem-solving abilities. - Familiarity with relevant Data Standards like CDISC, ADaM, and SDTM. - Ability to establish and maintain effective working relationships with colleagues, managers, and clients.,