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.

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