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Join a world class team that’s transforming the future of healthcare. At Mayo Clinic, Senior Data Science Analysts play a pivotal role in advancing patient care through data driven discovery, cutting edge AI solutions, and meaningful clinical impact. If you’re passionate about solving complex problems and creating technologies that directly improve lives, this is the place for you.
What You’ll Do
As a Mayo Clinic Senior Data Science Analyst, you will :
Unlock insights from large, complex, heterogeneous datasets to support clinical decision making and enhance human capabilities
Apply advanced expertise in AI, machine learning, and deep learning , including regression modeling, neural networks, clustering, pattern recognition, decision trees, and statistical data processing
Work hands on with rich healthcare datasets , leveraging deep knowledge of medical data types, scientific challenges, and analytic approaches
Collaborate with multidisciplinary teams —including knowledge architects, informaticians, clinicians, and external industry partners—to design and deploy AI driven tools for real world use, often at the point of care
Develop predictive models and analytics solutions that address high impact operational, clinical, and research problems
Build and enhance data pipelines, scripts, and applications that support data extraction, management, analysis, and AI deployment
Provide consultative expertise across departments and scientific project teams, with guidance from senior data scientists
Lead the interpretation and communication of analytical results , transforming data insights into actionable recommendations
Key Responsibilities
Deliver advanced analytics solutions that uncover insights from both structured and unstructured data
Drive the development of analytical tools and predictive models using AI / ML techniques
Partner with stakeholders to understand business needs and design solutions aligned with expected outcomes
Communicate findings through clear, compelling reports that support decision making and strategic planning