Statistical Programmer

• Design and implement data quality enhancements within CfOR.
• Provide technical solutions to programming challenges across CfOR projects.
• Lead technical programming and process improvement initiatives.
• Represent the programming function in multidisciplinary team meetings.
• Manage programming activities as per resource and timeline plans.
• Ensure adherence to departmental programming standards across projects.
• Write, review, and approve programming plans and dataset specifications.
• Review and approve key documents such as SAPs, CRFs, and Data Management Plans.
• Write, test, validate, and implement macros and utilities at various levels.
• Lead or contribute to CfOR policies, SOPs, and controlled document development.
• Participate in internal and external audits and respond to audit findings.
• Support recruitment, onboarding, and development of programming staff.
• Actively engage in external conferences and professional organizations.
• Contribute to continuous improvement in CfOR, programming, and R&D.
• Manage staff performance, assignments, and overall utilization.
• Deliver statistical programming and reporting for RWE generation.
• Manipulate large healthcare databases to generate real-world evidence.
• Collaborate globally to implement Statistical Analysis Plans.
• Ensure programming accuracy, data anomaly resolution, and delivery of results.

QUALIFICATION

• Bachelor's degree with 3–5 years of experience in Computer Science, Statistics, Mathematics, Life Sciences, Economics, or related field.
• Master's degree in relevant field
• Experience with OMOP common data model
• Exposure to RWD sources (MarketScan, Optum, Flatiron, etc.)
• Experience in RWE generation or clinical trial statistical programming

TECHNICAL SKILLS:

• Strong SAS and SQL programming (Required)
• Experience in R and Python (Preferred)
• Knowledge of RWD and RWE, including healthcare claims and EHR data
• Understanding of statistics, epidemiology, and the drug development lifecycle
• Experience with data quality tools (e.g., Informatica, Ataccama)
• Agile project management experience
• Strong communication, documentation, and collaboration skills