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Mayo Clinic · 15 hours ago

Data Scientist

Rochester, MN

Full-time

Onsite

Mid, Senior Level

$165K/yr - $248K/yr

4+ years exp

Mayo Clinic is a top-ranked healthcare provider dedicated to improving patient lives through innovation and research. The Data Scientist role involves transforming complex data into actionable insights, collaborating with leaders to enhance digital and analytics strategies, and mentoring staff in advanced data science methods.

BiotechnologyHealth CareHospitalMedicalWellness

No H1B

Responsibilities

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

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

Qualification

Data ScienceMachine LearningAIStatistical ModelingData ManagementPredictive ModelingProject ManagementConsulting MindsetInterpersonal SkillsProblem-SolvingTime Management

Required

PhD in a domain relevant field (mathematics, computer science, statistics, physics, engineering, data science, health science, or a related discipline)

At least four years of experience in data science, machine learning, AI, or informatics

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