Expert Clinical Programmer - Clinical Study Data, Risk Based Quality Management & Monitoring

Experteer Overview As a Clinical Programmer - Expert at Novartis, you will advance RBQM and the Central Monitoring platform to enable data-driven clinical operations.You collaborate with cross-functional teams to deliver analytics, dashboards, and scalable solutions that improve patient outcomes.You will transform business needs into practical technical outputs and mentor junior programmers, driving operational excellence across global studies.This role combines hands-on programming with strategic impact in a data-driven, hybrid environment.Compensaciones / Beneficios * Configure Central Monitoring Platform outputs using SAS programming and clinical data standards * Develop analytics dashboards, reports, data pipelines, and monitoring outputs for clinical operations * Translate business needs into practical, scalable technical solutions that improve user experience * Extract, clean, merge, subset, and derive clinical and operational datasets * Partner with study teams, statisticians, and Central Monitoring colleagues to clarify output requirements * Execute quality checks and validation routines to ensure complete, accurate monitoring data * Support existing dashboards, reports, and pipelines through scheduled refreshes and performance monitoring * Coach associate programmers, share technical knowledge, and contribute to reusable programming standards Responsabilidades * Bachelor’s degree in Life Sciences, Computer Science, Data Science, Engineering, Statistics, or a related field * 6-7 years of experience in clinical programming and data analytics with knowledge of RBQM * Expertise in RBQM KRI, QTL programming and analysis, SAS/R programming, and project management exposure * Advanced clinical programming: data extraction, transformation, derivation, and reporting * Experience in clinical data analytics, RBQM, and technology implementation at scale * Proficiency in SAS, AI/ML, R/Python/SQL; ability to write clean code and queries * Familiarity with BI tools (Power BI, Spotfire, Tableau) for visualizations * Understanding of clinical trial data structures and operations processes * Experience using AI tools for automation and real-time data analytics * Knowledge of SDTM/ADaM (Desirable), CluePoints monitoring platform (Desirable) Requisitos principales * flexible and hybrid working options * minimum 14 weeks paid parental leave * insurance plans * retirement plans * wellbeing resources * global recognition programs

Compensaciones / Beneficios * Configure Central Monitoring Platform outputs using SAS programming and clinical data standards * Develop analytics dashboards, reports, data pipelines, and monitoring outputs for clinical operations * Translate business needs into practical, scalable technical solutions that improve user experience * Extract, clean, merge, subset, and derive clinical and operational datasets * Partner with study teams, statisticians, and Central Monitoring colleagues to clarify output requirements * Execute quality checks and validation routines to ensure complete, accurate monitoring data * Support existing dashboards, reports, and pipelines through scheduled refreshes and performance monitoring * Coach associate programmers, share technical knowledge, and contribute to reusable programming standards Responsabilidades * Bachelor’s degree in Life Sciences, Computer Science, Data Science, Engineering, Statistics, or a related field * 6-7 years of experience in clinical programming and data analytics with knowledge of RBQM * Expertise in RBQM KRI, QTL programming and analysis, SAS/R programming, and project management exposure * Advanced clinical programming: data extraction, transformation, derivation, and reporting * Experience in clinical data analytics, RBQM, and technology implementation at scale * Proficiency in SAS, AI/ML, R/Python/SQL; ability to write clean code and queries * Familiarity with BI tools (Power BI, Spotfire, Tableau) for visualizations * Understanding of clinical trial data structures and operations processes * Experience using AI tools for automation and real-time data analytics * Knowledge of SDTM/ADaM (Desirable), CluePoints monitoring platform (Desirable) Requisitos principales * flexible and hybrid working options * minimum 14 weeks paid parental leave * insurance plans * retirement plans * wellbeing resources * global recognition programs