Senior Specialist, Data Science

Role: Senior Specialist in Advanced Process Analytics & Data Strategy within Biologics Science & Technology Platforms, focusing on data-driven process insights for biologics manufacturing. Responsibilities: develop and optimize analytics solutions; support process standardization; build and maintain manufacturing data architectures across systems like MES, LIMS, and PI Historian; enable process monitoring, modeling, and statistical analyses; collaborate with IT, scientists, and engineers to improve data quality, governance, and usability; contribute to digital workflows supporting PPM, CPV, and AI/ML models; promote data standards and literacy across teams. Requirements: B.S. in Chemical/Biochemical/Bioengineering or related, with 5+ years of biopharma manufacturing experience; strong domain knowledge of upstream/downstream biologics processes, GMP environments, and process verification; proficiency in Python, R, SQL, and data architecture concepts; experience with process data systems and analytics tools (e.g., PI, Seeq, Power BI). Preferred: familiarity with biologics manufacturing data challenges, data platform standards, and GMP analytics support; experience with data exchange with CMOs and cross-system data models. High-Value: biologics manufacturing, data science applied to GMP regulated processes, process monitoring (PPM, CPV), AI/ML, and digital transformation in biologics; remote/hybrid work, with about 10-15% travel.