Associate Director - Data Modeling

Role: Associate Director - Data Modeling, based in Cambridge, MA, responsible for providing expertise in designing and implementing data modeling activities to support R&D insights. Core responsibilities include developing AI-ready data assets, data curation, architecture, and process optimization to enhance data flow, quality, and usability across R&D functions. The role involves collaborating with data science teams, ensuring data strategies align with AI and analytics initiatives, and developing knowledge graphs to support target identification and pharmacology. Qualifications: Bachelor's in Computer Science, Data Science, or related field; 5-8 years' experience in data modeling, architecture, and process improvement, with expertise in AI/ML data prep and harmonization. Preferred skills include experience in pharmaceutical or healthcare industries, familiarity with cloud platforms (AWS, Azure), data visualization tools, and compliance standards. The position emphasizes leadership in cross-functional teams, strategic data planning, and delivering scalable, efficient data solutions to facilitate advanced analytics. Work setup is full-time, exempt, with a focus on data architecture, modeling, and process development for R&D data ecosystems.