Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. 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. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches.
May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required
May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist.
Other responsibilities:
•Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
•Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
•Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
•Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
•Leads the interpretation of data analysis and writing reports.

In support of the NeuroPlatform, the Department of Neurologic Surgery databases and registries, the individual will assist with the design, integration, modernization, and long-term support of data platforms, reporting solutions, and technical infrastructure. Responsibilities include integrating data from multiple source systems, designing and maintaining data models and automated data workflows, developing APIs and reporting solutions, supporting dashboard modernization initiatives, improving data quality and governance processes, and collaborating with clinical, research, operational, and IT stakeholders to deliver scalable analytics capabilities.

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.
The preferred candidate will possess a PhD or Master’s degree with one year experience in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data.

Additional Preferred Qualifications for NeuroPlatform Support

• Experience designing, developing, and supporting enterprise-scale data platforms, reporting solutions, or business applications that integrate data from multiple systems, databases, APIs, and external data sources.
• Strong experience with data integration, ETL/ELT development, SQL databases, data modeling, API development, system architecture, and application modernization initiatives.
• Experience developing dashboards, reports, and analytics solutions using Power BI, Tableau, SSRS, or similar business intelligence and visualization platforms.
• Experience working within cloud-based environments and modern software development practices, including Microsoft Azure, DevOps, CI/CD pipelines, containerized applications, and microservices architectures.
• Demonstrated success leading complex technical projects from requirements gathering through implementation, working with multidisciplinary teams and stakeholders.
• Experience establishing technical standards, data governance practices, documentation, data quality controls, and scalable support processes.
• Experience developing automation solutions that improve data collection, validation, reporting, and operational efficiency.
• Demonstrated ability to translate business and user requirements into technical solutions and communicate technical concepts to non-technical stakeholders.
• Experience working in healthcare, research, financial services, insurance, government, or other highly regulated environments is desirable.
• Familiarity with healthcare data, Epic, clinical registries, outcomes reporting, Microsoft Fabric, or related technologies is preferred but not required.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.