Hybrid Data Science Lead: Healthcare AI & Analytics

Mayo Foundation for Medical Education and Research

Rochester (MN)

Hybrid

USD 128,000 - 186,000

Full time

5 days ago
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Job summary

Mayo Clinic in Rochester, MN is seeking a data scientist to analyze large healthcare datasets, including imaging, genomics, and EHR data, to discover patterns that improve patient care. Deep expertise in AI, machine learning, and multimodal models is required.

The role involves developing predictive and prescriptive models, collaborating with clinicians, and guiding projects from concept to deployment. A PhD or Master’s with relevant experience is preferred; hybrid work arrangement near Mayo

Qualifications

  • Bachelor's degree in a relevant field and 7+ years in data science/AI.
  • PhD or MS with one year in data science or related field preferred.
  • Strong leadership, written and oral communication skills.
  • Experience with predictive/prescriptive modeling on large datasets.
  • Experience with healthcare data and enterprise analytics.

Responsibilities

  • Analyze large, heterogeneous healthcare data to extract insights.
  • Develop predictive and multimodal models using ML techniques.
  • Collaborate with clinicians and informaticians on deployments.
  • Lead interpretation of analyses and prepare reports.
  • Support data management, extraction, and tool development.

Skills

AI/ML techniques
Deep learning
NLP
Multimodal AI
Python
TensorFlow
PyTorch
Data analysis
Communication skills

Education

PhD or Master’s degree
Bachelor’s degree in engineering/math/CS/health science

Tools

TensorFlow
PyTorch
scikit-learn
Keras

Job description

Mayo Clinic in Rochester, MN is seeking a data scientist to analyze large healthcare datasets, including imaging, genomics, and EHR data, to discover patterns that improve patient care. Deep expertise in AI, machine learning, and multimodal models is required.

The role involves developing predictive and prescriptive models, collaborating with clinicians, and guiding projects from concept to deployment. A PhD or Master’s with relevant experience is preferred; hybrid work arrangement near Mayo

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