Translational Informatics Lead

Mayo Foundation for Medical Education and Research; Rochester (MN); Hybrid; USD 108,000 - 162,000; Full time

Benefits offered by this job

Medical plan options

Dental plan options

Vision plan options

HSA/FSAs available

Competitive retirement package

Job summary

Mayo Clinic in Rochester, Minnesota, seeks a Translational Informatics Analyst to lead data readiness and analytics for the ACIM program, a strategic initiative modernizing faculty data, academic career processes, reporting, and supporting technologies.

The role partners with business, operational, data, and technical teams to assess data quality, define governance, support migrations, and develop analytic solutions enabling successful implementation.

Qualifications

• Bachelor's degree in bioinformatics, clinical informatics, biomedical engineering, computer science, health science, or related field.
• PhD or master's degree with five years of translational informatics experience preferred.
• Authorization to work in the United States without Mayo sponsorship.

Responsibilities

• Lead data readiness and analytics for ACIM program and enterprise transformation.
• Assess data quality, define data governance approaches, and support source-of-truth decisions.
• Guide migration readiness activities and develop analytic solutions for implementation.
• Work with subject matter experts, data scientists, software developers, and knowledge engineers.

Skills

Translational informatics

Data governance

Data management

Healthcare data analysis

Cross-functional collaboration

Project management

Education

Bachelor's degree in a relevant field

PhD or Master's degree in related field

Job description

Mayo Clinic in Rochester, Minnesota, seeks a Translational Informatics Analyst to lead data readiness and analytics for the ACIM program, a strategic initiative modernizing faculty data, academic career processes, reporting, and supporting technologies.

The role partners with business, operational, data, and technical teams to assess data quality, define governance, support migrations, and develop analytic solutions enabling successful implementation.