Statistical Programmer- Future Roles

Accountabilities: Develop custom programming code using SAS or other required software to generate summary tables, data listings, graphs, and derived datasets in line with statistical analysis plans and programming specifications. Validate programming outputs, perform quality control checks, and work with programmers, biostatisticians, and project teams to resolve discrepancies and findings. Maintain accurate, complete, and up-to-date project documentation, testing records, validation materials, and quality control documents to ensure inspection readiness. Develop specifications for datasets and outputs of varying complexity, ensuring alignment with statistical requirements and sponsor expectations. Manage programming activities across multiple projects, balancing priorities, timelines, and workload while adapting to changing project needs. Identify potential programming challenges early and establish efficient approaches that minimize rework and support successful peer and sponsor review. When acting as lead statistical programmer, coordinate and monitor the work of other programming team members and oversee programming deliverables. Review key study documentation, including Statistical Analysis Plans, mock shells, programming specifications, annotated CRFs, and SAS database designs, providing feedback to improve efficiency and quality. Participate in sponsor meetings, project kickoffs, and bid defense meetings as the statistical programming representative when required. Support the development of programming personnel through training, mentoring, work reviews, and constructive feedback. Communicate progress, risks, and project updates effectively, contribute to internal meetings, and follow agreed action items through to completion. Complete assigned programming activities within agreed timelines and perform other related duties as required. Undertake minimal travel when necessary. Requirements: Undergraduate degree, preferably in a scientific or statistical discipline. An equivalent combination of education and demonstrated programming experience may also be considered. Extensive experience with SAS or other relevant statistical programming software, preferably within a clinical trial environment. Strong understanding of clinical study programming deliverables, validation processes, and quality control practices. Ability to interpret statistical analysis plans, programming specifications, and related clinical study documentation. Excellent written and verbal communication skills, with the ability to collaborate effectively across multidisciplinary and international teams. Ability to read, write, speak, and understand English. Strong organizational and time-management skills, with the ability to manage multiple projects, competing priorities, and changing deadlines. For lead-level responsibilities, the ability to coordinate programming activities, review deliverables, provide technical guidance, and mentor colleagues. Benefits: Remote work arrangement available for pre-approved locations in India. Full-time opportunity. Access to career development and progression opportunities. Supportive line management and technical and therapeutic-area training. Peer recognition and a total rewards program. A collaborative and inclusive working environment that values diverse perspectives and professional development.