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; Hands-on coding experience using R or Python for data preparation, manipulation, analysis, or reporting; Ability to assess data completeness, identify inconsistencies, and prepare reliable datasets for statistical analysis; Practical experience applying statistical methods, including statistical process control (SPC), process monitoring, capability analysis, or comparative statistics; Demonstrated project experience applying coding and statistical analysis to real business or technical problems; Strong analytical thinking, problem-solving, and technical communication skills; Ability to collaborate with cross-functional stakeholders and work effectively within a matrix team; Authorization to work in the United States without visa sponsorship. Prepare, clean, merge, validate, and analyze manufacturing and quality datasets using R or Python; Apply statistical process control (SPC), control charts, process capability analysis, and comparative statistical methods; Monitor process performance, identify trends, investigate statistical alerts, and communicate findings; Execute routine and ad hoc analyses and prepare reports and presentations for stakeholders; Improve analytical tools, data preparation workflows, and reporting processes through coding and automation; Support Continued Process Verification (CPV) and Annual Product Quality Review (APQR) activities; Contribute to analytical system configuration, technical documentation, and process improvements; Collaborate with MSAT, Manufacturing, Quality, and other cross-functional stakeholders.