You’ll need
Education
✓Bachelor's degree in a domain-relevant field such as engineering, mathematics, computer science, statistics, physics, data science, health science, or another analytical/quantitative field.
Qualifications
✓Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g., machine learning, statistical packages, modeling, etc.) is required.
✓Incumbent must stay current on healthcare trends and enterprise changes.
✓Interpersonal skills and time management skills are required.
✓Requires strong analytical skills and a commitment to customer service.
Demonstrated expertise in machine learning, deep learning, and healthcare AI, including the development, evaluation, and deployment of clinical decision-support solutions preferred
experience applying multimodal data (medical imaging and clinical data), AI governance frameworks, causal inference methods, predictive analytics, risk stratification, and personalized treatment-effect estimation preferred
proven ability to collaborate with multidisciplinary clinical, research, and technical teams to translate advanced AI methodologies into clinically meaningful and operationally actionable insights. preferred
Benefits
Medical: Multiple plan optionsDental: Delta Dental or reimbursement account for flexible coverageVision: Affordable plan with national networkPre-Tax Savings: HSA and FSAs for eligible expenses
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About the role
This position utilizes data analysis, data mining, pattern analysis, data visualization, reporting, and data management skills. Supports projects under close supervision of senior data analysts or data scientists. Types of work include descriptive analytics, data query scripting, data analysis, data engineering, visualizations, and forecasting.