About the Role
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data to discover new patterns and insights impacting patient health and augmenting human capabilities. They may collaborate with internal and external partners to develop and deploy AI and analytic solutions for non-technical users, often at the point of care.
Responsibilities
- Perform detailed analysis of large bodies of heterogeneous data to discover new patterns and insights impacting patient health and augmenting human capabilities.
- Develop and deploy AI and analytic solutions for 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.
- Develop predictive models on datasets to address business problems using statistical modeling, operations research, machine learning, or data mining techniques.
- Provide consultative services to departments/divisions and support scientific projects under the guidance of a senior data scientist.
- Provide data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Execute analytical procedures within the framework of a specific project work request.
- Create or modify scripts or software applications to support data management, data extraction, and data analysis.
- Contribute to the interpretation of data analysis and report writing.
- Help customers understand data sets and provide training and suggestions for improvement on data requests.
- Leverage communication and interpersonal skills to work with subject matter experts.
- Present findings in easy-to-understand terms for business or clinical practice.
Requirements
- A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field.
- A minimum of three years of professional or research experience in data science.
- A Master’s degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field is preferred.
- A minimum of one year of professional or research experience in data is preferred.
- 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.).
- Ability to manage a varied workload of projects with multiple priorities.
- Ability to stay current on healthcare trends and enterprise changes.
- Strong analytical skills and the ability to identify and recommend solutions.
- Advanced computer application skills.
- Commitment to customer service.
- Experience with data modeling and data exploration tools.
- CV/Resume
- Cover Letter
- Transcripts (unofficial copy accepted)
- Internal candidates must provide their past performance appraisal
Skills
- AI
- machine learning
- deep learning
- statistical data processing
- regression techniques
- neural networks
- decision trees
- clustering
- pattern recognition
- probability theory
- data science methods
- Power BI
- Tableau
- SQL
- Microsoft Fabric
- Google Cloud Platform (GCP)
- Python
- AI tools and technologies
- Epic data platforms
- Cogito
- Caboodle
- Clarity
Location
- Phoenix/Scottsdale, Arizona
- Jacksonville, Florida
- Rochester, Minnesota
- Mayo Clinic Health System campuses throughout Midwestern communities
- International locations
Work Type
- Full-time
Experience Level
- Minimum of three years of professional or research experience in data science
- Minimum of one year of professional or research experience in data (preferred)
Education Level
- Bachelor’s degree in engineering, mathematics, computer science, health science, or other analytical/quantitative field
- Master’s degree or PhD in engineering, mathematics, computer science, health science, or other analytical/quantitative field (preferred)
Benefits
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
About the Company
- Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report.
- Dedicated to employees, investing in competitive compensation and comprehensive benefit plans.
- Offers continuing education and advancement opportunities.
- Locations include Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and Mayo Clinic Health System campuses throughout Midwestern communities, and international locations.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status.
- Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
