Senior AI and Data Science Consultant
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Before you apply
LocationHealth System Shared Services
Also inAckerman Rd, 660 (0242)
Work modehybrid
Typefull-time
SenioritySenior
Experience6+ yrs
DepartmentHealth System Shared Services | Analytics Center of Excellence
Company size10,000+ people
PostedNov 2, 2026 · 1w ago
Verified live5d ago
At a glanceSummarised by Seekless from the posting.
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
Demonstrated success delivering AI/ML solutions
Advanced proficiency in Python
Advanced proficiency in 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
Ability to translate business needs into analytical and implementation plans
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
Experience with RAG and agentic AI solutions
Experience with 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
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
Final candidates are subject to successful completion of a background check
A drug screen or physical may be required during the post offer process
Skills
Python
SQL
machine learning
MLOps
LLMOps
generative AI
agentic AI
Epic
HL7 FHIR
Azure AI
Azure data platforms
RAG
infrastructure-as-code
containerization
API management
enterprise observability
Tableau
Plotly
Streamlit
knowledge graphs
Hiring process
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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.
Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.
The university is an equal opportunity employer, including veterans and disability.
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