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At IMO Health, a core team of software developers, data scientists, and domain experts combine computer science, healthcare, and life sciences expertise to help professionals access high-quality health information quickly and easily. We are seeking a Staff Data Scientist with deep expertise in statistical modeling, meta-analysis methodologies, AI/LLM technologies, and real-world evidence (RWE) generation to help design and develop innovative tools that empower clients to conduct advanced evidence synthesis and analysis. This role sits at the intersection of science, technology, and client delivery - translating complex analytical workflows into intelligent, scalable software solutions. You will collaborate with cross-functional teams to design, build, and optimize AI-enabled tools for meta-analysis. The ideal candidate will bring strong scientific understanding, product-thinking mindset, and experience implementing cloud-based AI infrastructure, scalable ML pipelines, and MLOps best practices to deliver robust, client-facing solutions in the life sciences domain. Join our growing Data Science & Analytics department as a Staff Data Scientist to drive AI-powered innovation in healthcare and life sciences! WHAT YOU'LL DO: Design and develop AI-driven software tools that enable clients to perform meta-analysis, systematic reviews, and real-world evidence (RWE) generation efficiently and accurately. Translate complex statistical and meta-analytic workflows into scalable, automated product features and user-facing applications. Collaborate with cross-functional teams to ensure scientific rigor, methodological validity, and usability of developed solutions. Leverage LLMs, prompt engineering, and information extraction techniques to automate literature review, data curation, and evidence synthesis from clinical and real-world data sources. Build and maintain scalable data and AI pipelines, integrating diverse data sources including structured, unstructured, and real-world d