Senior Programmer Analyst

Accountabilities:
The Senior Programmer Analyst will lead the development, implementation, and optimization of clinical programming solutions supporting global technical services needs. This role requires strong expertise in clinical data systems, statistical programming, analytics tools, and quality processes to ensure accurate, compliant, and efficient delivery of clinical study solutions. Lead the development and implementation of solutions for technical challenges involving EDC platforms, SAS programming, data reporting, and analytics tools. Serve as a subject matter expert and primary technical contact for clinical programming applications and system-related issues. Develop and maintain visual analytics dashboards using tools such as Spotfire or Tableau. Perform programming activities using clinical data platforms and proprietary systems while following applicable SOPs, work instructions, and regulatory standards. Manage post-production changes to EDC databases and enhance SAS programs, including edit checks, listings, protocol deviations, and related outputs. Provide statistical programming support for the development and maintenance of SDTM and client-standard datasets. Develop, validate, and optimize complex SDTM domains while supporting external data integrations and reconciliations. Implement SDTM automation, standardization initiatives, and programming best practices to improve quality and productivity. Plan and oversee study programming activities, including resource estimation, timelines, quality management, and collaboration with internal teams and clients. Perform troubleshooting, testing, validation, documentation, and error resolution for clinical programming solutions. Conduct peer reviews and quality control activities for study designs and programming deliverables. Monitor emerging developments in clinical data systems and identify opportunities to improve operational efficiency. Support process improvement initiatives and contribute to the adoption of best practices. Generate reports, metrics, and demonstrations of programming processes for stakeholders, sponsors, and auditors when required. Support resource forecasting and coordinate activities across project teams. Requirements: The ideal candidate brings strong experience in clinical programming, data management systems, and analytics solutions within a regulated research environment. This professional should combine technical expertise with analytical thinking, communication skills, and the ability to independently manage complex projects. Bachelor’s degree in life sciences, health sciences, information technology, computer science, or a related field preferred. Equivalent relevant professional experience may be considered in place of formal education requirements. 5+ years of experience in clinical programming, data management, database support, SAS programming, or analytics development. Experience working with EDC platforms such as Medidata Rave, Oracle Inform, or similar clinical systems. Strong knowledge of SAS programming, SDTM datasets, clinical data standards, and validation processes. Experience developing dashboards and reports using tools such as Spotfire or Tableau preferred. Understanding of clinical trial processes, biometrics, and clinical data management practices. Strong problem-solving abilities with a proactive approach to identifying and resolving issues. Excellent written and verbal communication skills in English. Ability to collaborate effectively within cross-functional teams and work independently when required. Strong organizational skills with the ability to manage multiple priorities and deadlines. Demonstrated attention to detail, analytical ability, and commitment to quality. Benefits: Competitive salary range of $80,000 - $95,000 USD annually. Comprehensive medical, dental, and vision coverage. Life insurance and short- and long-term disability benefits. 401(k) retirement plan. Paid time off or flexible time off programs. Eligibility for company bonus programs where applicable. Opportunity to work remotely within the United States. Access to professional growth opportunities in a global clinical research environment. Opportunity to contribute to technologies and processes supporting the development of life-saving therapies.

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