MSAT Data Science Engineer

Role: Data Science Engineer, Manufacturing Sciences and Technology, supporting allogeneic CAR T cell process data management and analysis. Responsibilities: oversee data infrastructure, ensure data integrity, develop analysis methodologies, support process understanding and process validation activities, contribute to AI initiatives, and collaborate across Quality, Process Development, IT, and Facilities. Requirements: Bachelor’s in science or engineering (computer science/data science preferred), 6+ years in GMP pharmaceutical manufacturing, 2+ years in data science within GMP; proficiency in SQL, Python, R, and analytics tools; knowledge of GMP data integrity and cell therapy. Preferred: late-stage clinical and commercial experience, machine learning/AI development, and cell therapy familiarity. High-Value: GMP manufacturing, cell therapy (CAR T), process data management, late-stage development, regulatory compliance, AI integration. Work setup: onsite at Newark, CA; travel up to 10%.