Seeking an experienced Senior Data Scientist to lead the development and deployment of advanced data science solutions that transform complex healthcare data into actionable insights for biopharmaceutical partners.
Compensation
Competitive annual base salary ranging from $125,300 to $178,900, depending on location, qualifications, experience, and relevant skills.
Responsibilities
Define and establish governed definitions for high-priority derived variables
Develop quality control rules for each data transformation stage
Maintain comprehensive documentation of data pipelines, data models, and transformation logic
Strengthen analytical assets and data pipelines, transforming prototypes into robust, scalable, and production-ready solutions
Partner with engineering teams to evaluate deliverables against client expectations and quality standards
Requirements
Bachelor's degree in a relevant field or equivalent professional experience
Advanced degree in measurement, statistics, epidemiology, or a related discipline
Lead the design and execution of data model evaluation strategy for a clinical foundation model, collaborating with clinicians, data engineers, and AI researchers to improve data representation.
Compensation
The starting salary range is approximately $165,000 to $200,000 per year.
Responsibilities
Lead clinical data model evaluation
Design and implement a rigorous evaluation framework
Define evaluation metrics and develop analytical methodologies
Analyze large clinical datasets using SQL, Python, and AI-assisted tools
Translate findings into evidence-based recommendations
Requirements
Nice to have: advanced training in biomedical or clinical informatics
Nice to have: clinical training (MD, DO, RN, PharmD)
Nice to have: experience building or evaluating clinical data models
Nice to have: experience with clinical foundation models
Nice to have: experience with multi-source healthcare datasets
Lead design, hardening, and deployment of high-impact real-world data products and advanced analytical solutions for biopharmaceutical partners.
Compensation
Anticipated salary range: $125,300 - $178,900
Responsibilities
Define governed definitions for the highest-priority derived variables
Set Quality Control rules for each transformation step for datasets
Document the pipeline and data model, including the decision logic at each transformation step
Harden data assets and analytical pipelines to ensure production reliability, regulatory defensibility, and reproducibility across client-facing deliverables
Assess engineering delivery meets client and quality requirements, and close gaps
Requirements
Bachelor's degree in related field
Advanced degree in measurement, statistics, epidemiology, or a related field
Nice to have: Advanced degree in measurement, statistics, epidemiology
Nice to have: Experience with genomic data
Nice to have: Experience with patient identity/tokenization solutions such as Datavant
Support the direct execution and delivery of technical aspects of Mayo Clinic Platform’s technology roadmap, focusing on design, development, and deployment of reusable platform foundations and services for secure healthcare data exchange.
Locations (4)
Rochester, Minnesota, United States
Phoenix, Arizona, United States
Scottsdale, Arizona, United States
Jacksonville, Florida, United States
Responsibilities
Contribute to the design, development, and deployment of reusable platform foundations using established well-architected and secure-by-default principles.
Design, develop, and maintain platform services and integration capabilities that enable the secure and efficient exchange of healthcare data between systems and applications.
Collaborate with engineering, product, design, architecture, and other partner teams to clarify requirements, review technical specifications, and develop maintainable solutions.
Build robust and scalable services using one or more languages and frameworks such as Java, TypeScript, Go, or .NET while maintaining appropriate standards for data integrity, security, reliability, and healthcare compliance.
Develop and maintain applications and shared user-interface capabilities using React/Next.js to provide reliable, fluent user interfaces for healthcare professionals and patients.
Requirements
Bachelors degree in a relevant information technology field
7 years of direct full-stack engineering with increasing complexity
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