Senior Data Engineer - Digital Pathology - Remote
About The Position
The Digital Biology team is the advanced technology group for Mayo Clinic Digital Pathology. We are seeking a Senior Data Engineer to execute the technical vision for our shared engineering pod. In this role, you will build, deploy, and optimize the scalable, multimodal data pipelines (pathology, -omics, imaging) that feed our biological foundation models and AI Virtual Cells. Working directly with AI pods and bioinformaticians, you will take ownership of data reliability and velocity, transforming complex raw biological information into high-quality training assets used to develop life-changing diagnostic tools. Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-source programming languages and vended software to meet the desired design functionality for products and programs. The position requires maintaining an understanding of the organization's current solutions, coding languages, tools, and regularly requires the application of independent judgment. May provide consultative services to departments/divisions and leadership committees. Demonstrated experience in designing, building, and installing data systems and how they are applied to the Department of Data & Analytics technology framework is required. Candidate will partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to help identify and visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.
Requirements
- Demonstrated experience in designing, building, and installing data systems and how they are applied to the Department of Data & Analytics technology framework is required.
Responsibilities
- Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions
- Maintain an understanding of the organization's current solutions, coding languages, tools
- Provide consultative services to departments/divisions and leadership committees
- Partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to help identify and visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
