Lead Multimodal Clinical Data Science & AI

Cincinnati Children's Office of Academic Affairs and Career Development; Cincinnati (OH); On-site; USD 101,000 - 131,000; Full time

Job summary

Cincinnati Children’s Hospital Medical Center is seeking a Lead Research Data Scientist to provide technical leadership and strategic direction across high-impact research initiatives in pediatric healthcare. The role focuses on ingested, tested multimodal clinical data and the integration with virtual humans to enable future data-driven care.

The position supports building a national multimodal data repository for a flagship federal health program, and advancing a risk-prediction model toward

Qualifications

• Master's degree in computer science, statistics, economics or related fields.
• 7+ years of work experience in a related job discipline.
• Demonstrated ability to manage large data science projects and various teams.

Responsibilities

• Guide and inspire the organization about the potential and strategy of data science and artificial intelligence.
• Work with teams to understand, document and respond to requirements to meet moderate to highly complex analytic needs and identify data-driven opportunities.
• Responsible for a portfolio with metrics and analytics for a particular domain or at enterprise level.
• Communicate and follow Data/AI Governance principle.
• Participate in Enterprise level initiatives to mature data science at CCHMC.

Skills

Python

R

MapReduce

Hadoop

HIVE

SQL

Education

Master's degree in computer science, statistics, economics or related fields

Tools

Python

R

Hadoop

MapReduce

HIVE

SQL

Job description

Cincinnati Children’s Hospital Medical Center is seeking a Lead Research Data Scientist to provide technical leadership and strategic direction across high-impact research initiatives in pediatric healthcare. The role focuses on ingested, tested multimodal clinical data and the integration with virtual humans to enable future data-driven care.

The position supports building a national multimodal data repository for a flagship federal health program, and advancing a risk-prediction model toward