Insights & Analytics Senior Specialist

Role: Insights & Analytics Senior Specialist focusing on translating complex scientific and business challenges into scalable machine learning solutions within a regulated biopharma environment. Responsibilities include understanding stakeholder needs, designing and deploying models—especially in NLP, computer vision, and AI workflows—using cloud platforms like AWS or Azure, and ensuring solutions are production-ready, scalable, and compliant with quality and governance standards. The role involves model monitoring, continuous improvement, and clear communication of technical findings to diverse audiences. It also requires technical leadership and collaboration with cross-functional teams, operating as an individual contributor within a hybrid onsite model in Gaithersburg, with some flexibility. Qualifications: Bachelor’s in Computer Science, Data Science, or related fields; at least five years of experience in machine learning, data science, or AI, ideally within healthcare, pharmaceuticals, or life sciences; expertise in unstructured data, NLP, computer vision, deep learning architectures, and cloud deployment; proficiency in Python, Docker, and MLOps best practices. High-Value: Focus on regulated biopharma data, AI/ML lifecycle, cloud engineering, model governance, and experience with unstructured data types relevant to healthcare. Work setup: hybrid (3 days onsite in Gaithersburg); local compliance and regulatory considerations applicable.