Tech Lead - SAS (Life Science Analytics)

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 environmenKey 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