Senior Data Science Analyst - Computational Pathology and AI Mayo Clinic
- Rochester, MN 55902, United States
- Full-time
- Hybrid
- USD $119,995 - $180,086 per year
Mayo Clinic, renowned for its expertise across various specialties, is committed to prioritizing patient care while supporting and investing in its employees. The clinic offers vast opportunities for career advancement and fosters an innovative, inclusive environment dedicated to ending racism and promoting diversity and inclusion. The Computational Pathology & AI division within the Laboratory Medicine and Pathology Department is expanding and looking for talent to drive their AI projects.
In this role you can expect to have the responsibilities:
- Guide AI model development and collaborate with knowledge architects and clinicians.
- Develop model training pipelines for both image and tabular data.
- Create toolkits for data annotation and visualization to aid study designs.
- Develop predictive models using advanced statistical techniques.
- Provide consultative services to Mayo Clinic departments and scientific projects.
- Discover and interpret data patterns to enhance patient outcomes.
- Perform stakeholder engagement to define business requirements.
This role comes with the following benefits:
- Comprehensive benefit plans.
- Opportunities for continuing education and advancement.
This role requires you to have:
- Experience in data science and AI.
- Bachelor’s degree in a relevant field or equivalent experience.
- Advanced knowledge of AI, machine learning, and statistical modeling.
You would benefit from having:
- PhD or Master's degree in a relevant field.
- Experience in healthcare data analysis.
- Strong leadership and communication skills.
Mayo Clinic is committed to inclusivity, actively encouraging diverse candidates to apply. They do not offer visa sponsorship for this role with exceptions noted for the TN visa classification.
The content on this page is not written or managed by Alooba. Please reach out to Mayo Clinic directly for any addtional information regarding this role.