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The Artificial Intelligence (AI) Core is a key component of the NIH funded P30 Digestive Diseases Research Core Center grant, which is entitled the Mayo Clinic Center for Cell Signaling in Gastroenterology. We are seeking a Senior Data Science Analyst to join our AI core to help develop, organize, and employ agentic AI based solutions powered by stacked frontier models. The focus of the core initially will be on spatial biology and multimodal omics integration to aid P30 members in discovery science. In this role, you will work for the AI Core along with a medical and scientific director (co-directors) and actively support members in the use of agentic AI models while simultaneously driving the rigorous experimental frameworks required to validate them. By bridging the gap between model training and statistical science, you will ensure our systems are not just performative, but biologically generalizable and ready to transform the future of digestive disease research. Data Scientists at Mayo Clinic perform detailed analysis of large bodies of scientific data in order to discover new patterns and insights having an impact ultimately upon patient health. The preferred candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, and data science methods and the mathematical theories underlying these tools used to analyze data. The individual should have advanced knowledge of computational biology data types, topics, and scientific challenges and approaches. You may work with knowledge architects, informaticians, and clinicians at Mayo to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of omics data including transcriptomics, genetics, proteomics, and spatial biology. The core applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI, as required, by leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. You will provide consultative services at a scientific level to support scientific projects. You will be housed within a digital biology-focused team focused on advanced AI technology for Mayo Clinic Digital Pathology. Note: Visa sponsorship is not available for this position. Must be a U.S. citizen, permanent resident, refugee, or asylee. Mayo Clinic does not support the OPT STEM program. A bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science and at least 12 graduate level semester hours in domain-relevant sciences or seven years or more of data science and AI experience is required. The ideal candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, bioinformatics/biostatistics, biological sciences, or other analytical/quantitative field. Requisite technical expertise in AI, data science, and the use of scientific computing and data management packages in strongly preferred. In addition, the role requires experience with data modeling and data exploration tools, along with advanced computer applications skills, strong analytical skills, and the ability to identify and recommend effective technical solutions. The incumbent must have proven leadership, project management, and time management skills, including the ability to prioritize, organize, delegate, and manage a varied workload of projects with multiple priorities while staying current on scientific trends. The role requires advanced written and oral communication skills, including the ability to provide AI-related text for publications and grants, to deliver clear presentations, and to impart effective education to learners with varying levels of expertise. The preferred candidate will have strong interpersonal and consulting skills, including a demonstrated ability to provide consultative services to scientists and co-workers from any Mayo entity requesting assistance, along with a commitment to customer service.