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Tier-1 brand, mid-level generalist title, metro location, and broad AI skillset increase applicant competition.
Strong clinical/GxP, CDISC, and R/SAS requirements limit transferability across industries.
Explicit years, specialized multi-agent/LLMOps, CDISC clinical requirements, and production MLOps mandate strict filters.
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Lead design and development of specialized AI agents and multi-agent workflows automating clinical data programming and regulatory submission asset creation.
Own end-to-end delivery of AI-augmented pipelines that accelerate clinical development timelines through automation and HITL feedback loops.
Guide junior scientists and collaborate cross-functionally to drive Roche's digital transformation in a regulated GxP environment.
5 to 7+ years industrial experience leading complex data science/AI engineering projects end-to-end.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or related quantitative field.
Deep expertise in Python and R programming focused on AI/ML and clinical statistical programming; familiarity with SAS is a plus.
Experience with advanced generative AI techniques including multi-agent architectures, GraphRAG, and LLMOps in production within regulated environments.
Experienced in clinical data standards (CDISC, SDTM, ADaM) and navigating regulatory/GxP constraints in clinical programming contexts.
Proven leadership skills managing multiple AI projects and mentoring junior data scientists in complex technical and regulatory settings.
Strong strategic orientation towards advancing enterprise-level AI capabilities and effective communication of AI evaluation metrics to non-technical stakeholders.