Data Scientist
Mayo Clinic
**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 (https://jobs.mayoclinic.org/benefits/) – 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.
**Responsibilities**
Join a world-renowned institution where data science directly improves patient lives. At Mayo Clinic, Data Scientists turn complex, heterogeneous data into meaningful insights that enhance clinical care, accelerate scientific discovery, and strengthen the digital future of healthcare.
This role partners closely with Data Science and Informatics faculty and serves as a technical thought leader—shaping the strategy, direction, and impact of data science across the enterprise.
**As a Data Scientist at Mayo Clinic, you will:**
+ **Transform data into insight and insight into action** , spanning the full spectrum from problem formulation and data acquisition to modeling, deployment, and interpretation.
+ Provide **strategic direction for data science and AI** in a specialized domain—such as cancer, surgery, healthcare delivery, marketing, or planning services.
+ Collaborate with enterprise leaders to **advance Mayo Clinic’s digital and analytics strategy** .
+ Work side‑by‑side with Informatics and IT teams to build **data‑ and intelligence‑driven systems** that address complex, high‑priority challenges.
+ Recommend best practices for **data collection, integration, and retention** , incorporating technical, operational, and business needs.
+ Support scientific and operational initiatives under the guidance of a senior data scientist or through full independent direction.
+ Design and develop **scripts, tools, and software applications** that enable data extraction, management, and analysis across the organization.
+ Deliver enterprise‑level consultative services, providing analysis and presenting findings to leadership and multidisciplinary stakeholders.
+ In Generative AI, a Data Scientist **will lead and execute Gen AI/Agentic based approaches**
**Key Responsibilities**
+ Partner with multidisciplinary teams to create innovative approaches for **data‑driven decision‑making** .
+ Lead exploration of **next‑generation AI/ML approaches** to solve complex analytical problems across diverse domains.
+ Apply deep expertise in data science methods, data types, and scientific challenges to help **shape new products, experiences, and technologies** .
+ Guide and mentor data science staff, ensuring high‑quality analysis, unbiased recommendations, and alignment with strategic priorities.
+ Develop **analytics tools and solutions** that can be used effectively by non‑technical staff.
**Qualifications**
• **PhD** in a domain relevant field (mathematics, computer science, statistics, physics, engineering, data science, health science, or a related discipline) **Plus**
• **At least four years** of experience in data science, machine learning, AI, or informatics
**What You Bring**
+ A blend of **deep technical expertise and strong business acumen** , with a proven ability to lead technical or quantitative teams.
+ Demonstrated success developing **predictive and prescriptive models** using advanced statistical modeling, machine learning, or data mining.
+ Experience applying **problem‑solving frameworks** , planning methods, continuous improvement approaches, and project management techniques.
+ Ability to independently manage multiple high‑impact projects in a dynamic environment, staying current with healthcare trends and enterprise priorities.
+ Exceptional interpersonal skills— **presentation, negotiation, persuasion, and written communication** .
+ Strong time‑management skills and the ability to prioritize, organize, and delegate effectively.
+ Expertise in **scientific computing** , data management packages, data modeling, and data exploration tools.
+ A consulting mindset: the ability to identify challenges, recommend solutions, deploy analytics tools, and support non‑technical users.
+ Demonstrated initiative in areas such as training, software development, education, and technical documentation.
+ Proven ability to provide **vision and strategic direction** at the departmental, institutional, or enterprise level.
+ Preferred publications in high impact factors
**Exemption Status**
Exempt
**Compensation Detail**
Compensation range is $165,276.80 - $247,998.40 / Salary. This vacancy is not eligible for sponsorship, and we will not sponsor or transfer visas for this position.
**Benefits Eligible**
Yes
**Schedule**
Full Time
**Hours/Pay Period**
80
**Schedule Details**
Monday - Friday, 8am - 5pm CST. Some on-site travel may be required for retreats or meetings.
**Weekend Schedule**
As needed.
**International Assignment**
No
**Site Description**
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. (https://jobs.mayoclinic.org/alllocations)
**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" (https://www.eeoc.gov/poster) . Mayo Clinic participates in E-Verify (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) 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.
**Recruiter**
Briana Priniski
**Equal opportunity**
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.
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