Mayo Clinic is seeking to improve patient lives through data science by transforming complex, heterogeneous data into meaningful insights that enhance clinical care, accelerate scientific discovery, and strengthen the digital future of healthcare.
Requirements
- 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
- Demonstrated success developing predictive and prescriptive models using advanced statistical modeling, machine learning, or data mining
- Expertise in scientific computing, data management packages, data modeling, and data exploration tools
- 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
- Proven ability to provide vision and strategic direction at the departmental, institutional, or enterprise level
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.
Other
- Exceptional interpersonal skills—presentation, negotiation, persuasion, and written communication
- Strong time‑management skills and the ability to prioritize, organize, and delegate effectively
- 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
- Preferred publications in high impact factors
