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 environmenKey Responsibilities

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• Develop, maintain, and troubleshoot SAS programs, utilities, and frameworks within LSAF.
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• Investigate and resolve complex data flow, transformation, and processing issues.
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• Support global programs and shared frameworks used across multiple clinical studies.
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• Analyze and maintain clinical data transformations, derivations, lineage, and data provenance processes.
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• Ensure end-to-end traceability from source data through SDTM, reporting, and downstream consumption.
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• Support GxP validation activities, including documentation, SIT, UAT, implementation, and release activities.
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• Perform root cause analysis, code reviews, and continuous improvement of existing solutions.
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• Serve as a technical escalation point and collaborate with Clinical Programming, Data Management, Quality, and IT teams.
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Key Competencies

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• Strong technical curiosity and hands-on problem-solving mindset.
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• Ability to work independently in a fast-paced environment.
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• Quality, compliance, and customer-focused approach.
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• Strong collaboration and stakeholder management skills.
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• Ability to manage multiple priorities and deliver results with minimal direction.
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• Passion for technology and applying it to drive business value.
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Required Qualifications

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• Bachelor’s degree in Computer Science, Engineering, Life Sciences, or related field.
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• 10+ years of relevant experience.
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• Extensive experience with SAS Life Science Analytics Framework (LSAF).
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• Proven SAS programming experience in a clinical research environment.
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• Experience developing and maintaining SAS-based systems and frameworks.
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• Strong understanding of clinical data transformations, derivations, data lineage, and data provenance.
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• Experience troubleshooting complex data pipelines and cross-study data flows.
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• Working knowledge of CDISC SDTM standards.
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• Experience within Pharmaceutical R&D and clinical studies.
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• Strong understanding of SDLC, change management, and system validation processes.
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• Experience supporting GxP-regulated systems and computerized system validation activities.
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• Hands-on experience with SIT, UAT, and production implementations.
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• Strong analytical, troubleshooting, and problem-solving skills.
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• Excellent written and verbal communication skills
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