Manager, Data Acquisition

Design, write, and maintain database programs/scripts (CQL, R, Python) to acquire, transform, and quality-check clinical and external vendor data, integrating it into GSK systems.

Identify, evaluate, and pilot AI/ML and automation applications in clinical data acquisition, ensuring compliant and validated use within GxP and ICH-GCP frameworks.

Deliver multiple clinical studies' data acquisition activities, including vendor oversight, milestone management, issue resolution, and advisory support to study teams.

Bachelor's degree or equivalent in Engineering, Life Sciences, Computer Science, Mathematics, Physics or related field.

8+ years of experience in data acquisition or related clinical research/information systems roles with demonstrated ability to autonomously deliver complex data management tasks.

Proficiency in SQL and working knowledge of R and Python for data extraction, transformation, reconciliation, validation, and reporting.

Working understanding of AI/ML concepts (including supervised/unsupervised learning, NLP, model validation) and their application in clinical data acquisition; experience with CDISC standards including SDTM.

Experienced in pharmaceutical clinical data management with strong regulatory knowledge (ICH-GCP) and practical handling of complex multi-stakeholder study setups.

Technical expertise in database programming and AI/ML tools with ability to serve as SME, mentor junior staff, and translate complex technical concepts to non-technical stakeholders.

Proven capability to manage multiple vendor relations, data acquisition compliance, and lead delivery in matrixed environments with strong project and risk management skills.