Mayo Clinic is looking to solve business problems related to patient health and augmenting human capabilities through detailed analysis of large bodies of heterogeneous data.
Requirements
- 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 used to analyze data.
- Knowledge of data types, topics, and scientific challenges and approaches.
- Experience with data modeling and data exploration tools.
- Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques.
- Application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g., machine learning, statistical packages, modeling, etc.).
- Advanced computer application skills.
- Experience with data science methods used to analyze data.
Responsibilities
- Perform detailed analysis of large bodies of heterogeneous data to discover new patterns and insights having an impact upon patient health and augmenting human capabilities.
- Develop and deploy applications to bring AI and analytic solutions to non-technical users, often at the point of care.
- Apply and modify existing scripts or software applications to support data management, data extraction, data analysis, and AI as required.
- Develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques.
- Provide data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Create or modify scripts or software applications to support data management, data extraction and data analysis as required.
- Execute analytical procedures in the framework of a specific project work request.
Other
- A bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field.
- Minimum of three years of professional or research experience in data science.
- Must be a U.S. citizen, permanent resident, refugee or asylee.
- Interpersonal skills and time management skills are required.
- Commitment to customer service.
