Bachelor's degree in Life Sciences, Biotechnology, Engineering, Statistics, Data Science, or a related discipline; 5+ years of pharmaceutical experience in a GMP-regulated environment; 3+ years of experience in data management and analytics; Strong hands-on experience with R for data preparation, manipulation, and analysis; Strong working knowledge of statistical analysis using JMP, R, or Python; Experience with statistical process control (SPC), process monitoring, and capability analysis; Applied coding experience supporting data analytics, reporting, or process monitoring; Ability to analyze manufacturing or quality datasets, identify trends, and communicate findings; Strong communication, technical writing, and cross-functional stakeholder management skills; Ability to work effectively within a matrix team. Key responsibilities: Prepare, clean, merge, and analyze manufacturing and quality datasets using R and statistical analysis tools; Perform statistical process control, process capability analysis, and multivariate analysis; Monitor CPV parameters, identify process trends and drifts, and evaluate statistical alerts; Support CPV/APQR reporting, investigations, and root cause analysis; Configure analytical systems and support automation of data preparation and reporting; Prepare technical reports and GMP documentation; Collaborate with Manufacturing, Quality, MSAT, Engineering, and other cross-functional stakeholders.