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 Gx P-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 Gx P-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 Gx P 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 Gx P-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 skillsThis listing is sourced from a third-party job board. Applying will redirect you to the original posting.