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. The ideal candidate has expertise in Artificial Intelligence (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. In this role you 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. Additional responsibilities are detailed below:

Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required. 

Develops predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. 

Provides consultative services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.

Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.

Utilizes expertise in data science methods to analyze data

Utilizes knowledge of data types, topics, and scientific challenges and approaches.

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.

Contributes to the interpretation of data analysis and to writing reports.

Assists customers in understanding the data set and provides 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.

**This position is not eligible for visa sponsorship with the exception of the TN visa classification; Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program. 

Data Science Analyst

A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science.

Additional Qualifications

Master’s degree 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 is preferred. 

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.). 

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 

Strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service.  

Experience with data modeling and date exploration tools.

Sr. Data Science Analyst

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.

Additional Qualifications

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 is preferred.

Ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance is preferred.

Technical and business background/experience along with strong leadership skills.

Strong interpersonal skills to include presentation, negotiation, persuasion, customer service, and written communications skills

Expertise in the use of scientific computing and data management packages

Experience with data modeling and date exploration tools

Ability to prioritize, organize, and delegate various tasks on projects

Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes

Strong time management skills

Demonstrated initiative in administration, education (seminars, training), software development, and technical reports

Demonstrated success in project management

Ability to develop predictive and prescriptive models on large-scale datasets 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, project management methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) 

Strong analytical skills, consulting skills, ability to identify and recommend solutions

Advanced computer application skills 

Application Requirements

*All must be included for your application to be considered: 

CV/Resume

Cover letter

Transcripts (unofficial copy accepted) or NACES detailed international equivalency for foreign degrees.  

Internal candidates must provide their past three performance appraisals. 

**DLMP employees that have been in current lab/position for less than 2 years must attach early release approval from supervisor. 

***Non-DLMP internal applicants that have been in their current department/position for less than 1 year must attach early release approval from supervisor. 

*International transcript:

• MUST have a DETAILED equivalency evaluation.
• MUST show US equivalent degree.
• Evaluation MUST be completed from an organization listed as a member of the National Association of Credential Evaluation Services (NACES) www.naces.org OR the Association of International Credential Evaluators, Inc. (AICE) www.aice-eval.org