Mayo Clinic is looking to discover new patterns and insights from large bodies of heterogeneous data to impact patient health and augment human capabilities.
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.
- Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques.
- Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required.
- Experience with data modeling and date exploration tools.
Responsibilities
- Performs 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.
- 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.
- Develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques.
- Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Executes analytical procedures in the framework of a specific project work request.
- Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.
Other
- 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.
- May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.
- Helps customers understand the data set and provide training and suggestions for improvement on the data request.
- Leverages communication and interpersonal skills and works with subject matter experts.
- Presents findings in easy to understand terms for the business or clinical practice.
- Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes.
- Interpersonal skills and time management skills are required.
- Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service.
