Senior AI & Data Science Consultant: Healthcare Analytics

The Ohio State University

United States

On-site

USD 120,000 - 180,000

Full time

10 days ago

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Job summary

The Ohio State University Wexner Medical Center seeks a Senior AI and Data Science Consultant to lead advanced analytics initiatives across clinical, research, and operational areas. You will design, implement, and evaluate AI solutions, communicating findings to both technical and non-technical stakeholders.

You will work independently across the solution lifecycle, partnering with IT, cybersecurity, privacy, and governance teams to move high-value projects into sustainable enterprise use.

Qualifications

  • Bachelor's degree in a quantitative field and strong foundation in data science.
  • Six years of experience delivering AI/ML solutions and analytics.
  • Advanced proficiency in Python and SQL; strong statistical and modeling skills.
  • Experience with cloud platforms, MLOps/LLMOps, and generative AI.

Responsibilities

  • Translate business questions into analytical or AI solutions and communicate results to diverse audiences.
  • Lead end-to-end analytics projects from problem framing to deployment and monitoring.
  • Collaborate with clinical, administrative, data engineering, and governance teams to implement scalable solutions.

Skills

Python
SQL
Machine Learning
AI Engineering
Cloud Platforms
MLOps/LLMOps
Generative AI
Communication
Stakeholder Management

Education

Bachelor's degree in Data Science, Computer Science, Statistics or related field

Tools

Azure AI
Data Platforms
Infrastructure as Code
Docker
Kubernetes
API Management
Observability/Monitoring

Job description

The Ohio State University Wexner Medical Center seeks a Senior AI and Data Science Consultant to lead advanced analytics initiatives across clinical, research, and operational areas. You will design, implement, and evaluate AI solutions, communicating findings to both technical and non-technical stakeholders.

You will work independently across the solution lifecycle, partnering with IT, cybersecurity, privacy, and governance teams to move high-value projects into sustainable enterprise use.

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