Data Scientist - Remote

Jobs via Dice; Rochester (MN); Remote; USD 91,000 - 141,000; Full time

Job summary

Mayo Clinic is seeking a Data Scientist to perform comprehensive analyses on large datasets to enhance healthcare delivery and inform leadership decisions. The ideal candidate will possess a PhD and have extensive experience in data science, machine learning, and modeling techniques. This role encompasses both technical and leadership responsibilities within a collaborative team environment.

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.

Qualifications

• PhD degree with relevant experience in data science and AI.
• Expertise in statistical modeling and machine learning.
• Strong leadership and interpersonal skills required.

Responsibilities

• Analyze large datasets to derive insights for patient health.
• Lead teams in AI/ML projects and data-driven decision making.
• Support enterprise-level data science initiatives.

Skills

Data Analysis

Machine Learning

Statistical Modeling

Predictive Modeling

Consulting Skills

Education

PhD in domain-relevant sciences

Tools

Data modeling tools

Statistical packages

Job description

1 week ago Be among the first 25 applicants

Job Description

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. This position works in conjunction with Data Science and Informatics faculty to provide technical thought leadership on data science at Mayo.

Job Description

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. This position works in conjunction with Data Science and Informatics faculty to provide technical thought leadership on data science at Mayo.

Candidate has extensive expertise in navigating the whole spectrum of transforming data to information to knowledge and to wisdom including problem formulation, data acquisition, modeling, learning strategy, and interpretation with extensive hands-on experience.

Provide strategic direction regarding data science and AI in a specific area (e.g., cancer, surgery, planning services, marketing, healthcare delivery). Work with enterprise leaderships to advance digital strategy at Mayo Clinic.

Works closely with Informatics and IT teams to create data and intelligence driven systems to solve complex client problems. Makes strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of best practices. Supports scientific projects under the loose supervision of a designated senior level data scientist, or under self-direction. Designs, develops, applies and modifies scripts or software applications to support data management, data extraction and data analysis as required. Provides Consultative Services at an enterprise level to departments/divisions. Is responsible to gather, analyze, present findings to leadership.

Other responsibilities:

Participates in multidisciplinary teams to design, develop, and recommend new approaches for data driven decision-making.

Leads discovery processes on pioneering AI/ML based approaches to solve complex data problems across a variety of domains.

Has deep expertise in the methods used to analyze data and deep knowledge of data types, topics, and scientific challenges and approaches that will be used to help inform and define new products, experiences and technologies.

Guides and educates the data science team to provide unbiased and accurate information, analysis, consultation, and recommendations to support strategic and operational data science initiatives at Mayo Clinic.

Will develop analytics tools that can be used by other staff with non-technical expertise.

Qualifications

PhD degree in domain-relevant sciences (mathematics, computer science, statistics, physics, data science, engineering, health science or other domain-relevant field) with at least four years of informatics, Artificial Intelligence, data science and/or machine learning.

The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Experience leading technical/quantitative teams and in-depth business or practice knowledge is required.

Demonstrated 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, is required. 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.) required. Incumbent must have ability to independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Exceptional time management is required. In addition, requires excellent analytical skills, consulting skills, ability to deploy data science solutions, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools. Expertise in the use of scientific computing and data management packages. Demonstrated ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated ability to provide vision and strategic direction at an institutional or enterprise level to departments/divisions and committees.

About Us

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights

• 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 Team

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

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. Learn more about the "EOE is the Law". 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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