Senior AI and Data Science Consultant

The Ohio State University

1d

About The Position

The Senior AI and Data Science Consultant contributes to the strategic vision of The Ohio State University Wexner Medical Center and serves as a senior technical contributor in designing, implementing, and evaluating advanced analytics and artificial intelligence initiatives. The role creates organizational value by integrating and analyzing data from clinical, research, educational, financial, and operational areas of the medical center.

This enterprise-wide role applies statistical analysis, mathematical and simulation modeling, operations research, machine learning, agentic AI, and generative AI to complex healthcare and business challenges. The consultant translates ambiguous questions into defined analytical or AI solutions and communicates findings, evidence, limitations, and recommendations to technical and non-technical stakeholders.

Under the direction of the supervisor, the consultant works with substantial independence across the solution lifecycle, from problem framing and data preparation through model development, evaluation, secure integration, deployment, monitoring, and continuous improvement. The role partners with clinical and administrative leaders and teams across data engineering, platforms, application development, architecture, cybersecurity, privacy, compliance, and governance to bring high-value solutions into sustainable enterprise use.

Requirements

• Bachelor's degree in Data Science, Industrial & Systems Engineering, Computer Science, Statistics, Mathematics, Informatics, or a related quantitative field.
• Six years of experience in data science, advanced analytics, machine learning, AI engineering, software engineering, or a related field, with demonstrated success delivering AI/ML solutions.
• Advanced proficiency in Python and SQL.
• Strong statistical and modeling expertise.
• Hands-on machine learning experience.
• Knowledge of software engineering, cloud platforms, MLOps/LLMOps, and generative AI.
• Ability to apply responsible AI practices.
• Ability to communicate complex technical concepts to diverse audiences.
• Ability to evaluate technical solutions and translate business needs into analytical and implementation plans.

Nice To Haves

• Experience applying analytics or AI in healthcare, academic medical centers, clinical research, or other regulated environments.
• Familiarity with Epic data, healthcare workflows, claims data, and interoperability standards such as HL7 FHIR.
• Experience with Azure AI and data platforms, RAG and agentic AI solutions, infrastructure-as-code, containerization, API management, and enterprise observability.
• Proficiency with visualization and analytical tools such as Tableau, Plotly, or Streamlit.
• Demonstrated leadership of cross-functional projects and mentoring of technical teams.
• Expertise in advanced quantitative methods such as optimization, simulation, Bayesian analysis, causal inference, or forecasting.
• Experience utilizing and integrating knowledge graphs.

Responsibilities

• Design, implement, and evaluate advanced analytics and artificial intelligence initiatives.
• Integrate and analyze data from clinical, research, educational, financial, and operational areas of the medical center.
• Apply statistical analysis, mathematical and simulation modeling, operations research, machine learning, agentic AI, and generative AI to healthcare and business challenges.
• Translate ambiguous questions into well-defined analytical or AI solutions.
• Communicate findings, evidence, limitations, and recommendations to technical and non-technical stakeholders.
• Work across the solution lifecycle, including problem framing, data preparation, model development, evaluation, secure integration, deployment, monitoring, and continuous improvement.
• Partner with clinical and administrative leaders and data engineering, platform, application development, architecture, cybersecurity, privacy, compliance, and governance teams.
• Help move high-value solutions from concept to sustainable enterprise use.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior