Senior AI and Data Science Consultant

Ohio State University; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

The Ohio State University Wexner Medical Center seeks a Senior AI & Data Science Consultant to shape strategic analytics initiatives across clinical, research and operations domains.

You will translate complex questions into scalable AI solutions, collaborate with data engineering, platform, and governance teams, and deliver actionable insights while ensuring responsible AI practices in enterprise settings.

Qualifications

• Bachelor's degree in quantitative field.
• Six years of experience delivering AI/ML solutions.
• Advanced proficiency in Python and SQL; strong statistics and modeling expertise.

Responsibilities

• Design, implement, and evaluate advanced analytics and AI initiatives for OSU Wexner Medical Center.
• Translate ambiguous questions into well-defined analytical or AI solutions; communicate findings to stakeholders.
• Collaborate with data engineering, platform, application development, architecture, cybersecurity, privacy, compliance, and governance teams.
• Oversee problem framing, data preparation, model development, evaluation, and deployment to enterprise systems.

Skills

Python

SQL

Statistics

Machine learning

AI engineering

Software engineering

Cloud platforms

MLOps/LLMOps

Generative AI

Communication

Responsible AI

Education

Bachelor's degree in quantitative field

Tools

Tableau

Plotly

Streamlit

Job description

Current Employees and Students

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Job Title

Senior AI and Data Science Consultant

Department

Health System Shared Services | Analytics Center of Excellence

Job Description

The Senior AI & Data Science Consultant contributes to the strategic vision of The Ohio State University Wexner Medical Center and serves as a senior technical contributor in the design, implementation, and evaluation of advanced analytics and artificial intelligence initiatives. The consultant 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 and generative AI to complex healthcare and business challenges. The consultant translates ambiguous questions into well-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, data preparation, model development, and evaluation through secure integration, deployment, monitoring, and continuous improvement. The role partners with clinical and administrative leaders, data engineering, platform, application development, architecture, cybersecurity, privacy, compliance, and governance teams to move high-value solutions from concept to sustainable enterprise use.

Minimum Qualifications

• 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, and knowledge of software engineering, cloud platforms, MLOps/LLMOps, and generative AI.
• Ability to apply responsible AI practices, communicate complex technical concepts to diverse audiences, evaluate technical solutions, and translate business needs into analytical and implementation plans.

Additional Information

Desired Qualifications

• Preferred qualifications include 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;
• and experience utilizing and integrating knowledge graphs.

Location

Ackerman Rd, 660 (0242)

Position Type

Regular

Scheduled Hours

40

Shift

First Shift

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

The university is an equal opportunity employer, including veterans and disability.