Senior Data Science Analyst - GAI Skunkworks- Remote

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Rochester (MN)

Remote

USD 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Medical Plan Options

Dental Coverage

Vision Plan

Retirement Package

Continuing Education Opportunities

Job summary

Join Mayo Clinic as a Senior Data Science Analyst in a remote role focused on analyzing vast healthcare data to improve patient outcomes. The ideal candidate will possess advanced expertise in AI and machine learning, and have a strong background in healthcare data analysis. At Mayo Clinic, you'll collaborate with top experts to build analytic solutions that transform patient care while contributing to a prestigious organization known for its commitment to employee development and patient service.

Qualifications

Advanced expertise in AI, machine learning, deep learning, and statistical methods.
Experience in healthcare data analysis and predictive modeling over 4+ years.
Preferred: Master’s or PhD in computer science or relevant field.

Responsibilities

Conduct detailed analysis of healthcare data to find patterns affecting patient outcomes.
Develop predictive models and AI solutions for clinical applications.
Collaborate with stakeholders to define business requirements.

Skills

Machine Learning

Deep Learning

Statistical Data Processing

Data Analysis

Predictive Modeling

Pattern Recognition

Data Management

Education

Bachelor's degree in relevant field

Master's degree or PhD in relevant field

Tools

Python

SQL

Cloud Platforms (e.g., AWS, Google Cloud)

Job description

Senior Data Science Analyst - GAI Skunkworks- Remote

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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. Candidate has advanced 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 and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches.

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

May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist.

The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills. 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. Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance is preferred. 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 manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Strong interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Strong time management skills also are required. In addition, requires strong analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.

Other responsibilities:

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

Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.

Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.

Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.

Leads the interpretation of data analysis and writing reports.

Qualifications

Qualifications:

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.

The preferred candidate will possess a 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.

Preferred Qualifications:

Education: Master's degree in computer science, machine learning, artificial intelligence, or a related field. Ph.D. preferred.

Experience: 4+ years of hands-on experience in AI/ML. Focus on GenAI and LLMs preferred.

Technical skills: expertise in GenAI and LLM framworks, experience with cloud platforms (e.g., Google Cloud Platform, AWS), strong programming skills in Python and libraries such as PyTorch, Transformers, SQL

Exceptional organizational skills

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