Scientific Technical Lead, Early Stage PDST CMC

Role: Senior Data Scientist specializing in early-stage biologics process development, integrating AI and advanced analytics into pipeline decision-making. Responsibilities: develop and validate predictive models for upstream/downstream bioprocess performance, design hybrid modeling approaches, build scalable data architectures, and create AI-driven workflow solutions supporting process characterization, robustness, and control strategies. Engage with cross-functional teams to define data strategies aligning with GxP/regulatory standards, design experimental frameworks, and translate complex insights into actionable decisions. Requirements: PhD or MS in a quantitative discipline (e.g., Data Science, Biotech, Bioengineering) with 2+ years (PhD) or 6+ years (MS) experience in scientific data science, expertise in Python, statistical modeling, and GxP environment familiarity. Preferred: experience in biologics bioprocessing, biopharma data types, CMC development, technology transfer, and regulatory support. High-Value: biologics, process development, predictive modeling, hybrid approaches, GxP, bioprocess data, and cross-functional collaboration across R&D in a regulated setting. Work setup: not specified.