Tech Lead - SAS (Life Science Analytics)

Job description

Senior LSAF Programmer Position Summary We are seeking an experienced Senior LSAF Programmer to provide technical leadership and hands-on support for the SAS Life Science Analytics Framework (LSAF). The role focuses on writing & updating global programs (cross trial programs), troubleshooting complex data flow issues, maintaining global SAS frameworks used across multiple clinical studies, and supporting validated GxP-regulated environments. Ideal Candidate A seasoned LSAF expert with deep SAS programming expertise who can independently diagnose and resolve complex data flow issues, maintain global clinical data frameworks, understand end-to-end clinical data transformations and lineage, and support validation, testing, and implementation activities in a GxP-compliant environmen Key Responsibilities • Develop, maintain, and troubleshoot SAS programs, utilities, and frameworks within LSAF. • Investigate and resolve complex data flow, transformation, and processing issues. • Support global programs and shared frameworks used across multiple clinical studies. • Analyze and maintain clinical data transformations, derivations, lineage, and data provenance processes. • Ensure end-to-end traceability from source data through SDTM, reporting, and downstream consumption. • Support GxP validation activities, including documentation, SIT, UAT, implementation, and release activities. • Perform root cause analysis, code reviews, and continuous improvement of existing solutions. • Serve as a technical escalation point and collaborate with Clinical Programming, Data Management, Quality, and IT teams. Key Competencies • Strong technical curiosity and hands-on problem-solving mindset. • Ability to work independently in a fast-paced environment. • Quality, compliance, and customer-focused approach. • Strong collaboration and stakeholder management skills. • Ability to manage multiple priorities and deliver results with minimal direction. • Passion for technology and applying it to drive business value. Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Life Sciences, or related field. • 10+ years of relevant experience. • Extensive experience with SAS Life Science Analytics Framework (LSAF). • Proven SAS programming experience in a clinical research environment. • Experience developing and maintaining SAS-based systems and frameworks. • Strong understanding of clinical data transformations, derivations, data lineage, and data provenance. • Experience troubleshooting complex data pipelines and cross-study data flows. • Working knowledge of CDISC SDTM standards. • Experience within Pharmaceutical R&D and clinical studies. • Strong understanding of SDLC, change management, and system validation processes. • Experience supporting GxP-regulated systems and computerized system validation activities. • Hands-on experience with SIT, UAT, and production implementations. • Strong analytical, troubleshooting, and problem-solving skills. • Excellent written and verbal communication skills