Assistant/Associate Professor of Artificial Intelligence and Machine Learning in...

New Frontier Animal Medical Center; Columbus (OH); On-site; USD 100,000 - 160,000; Full time

Job summary

The Ohio State University in Columbus, OH seeks an Assistant or Associate Professor focused on AI/ML in veterinary population health. The role emphasizes translational research to improve animal health and welfare and a teaching program for veterinary and graduate students.

Ideal candidates will advance AI/ML methods or applications, secure extramural funding, and collaborate across disciplines. The appointment supports OSU's AI initiatives and public-outreach efforts.

Qualifications

• Demonstrates AI/ML scholarship focused on biological or population-level data.
• Track record of AI/ML research advancing knowledge, methods, or practice.
• Ability to secure extramural funding and build an independent program.
• Strong communications skills.

Responsibilities

• Conduct translational AI/ML research addressing veterinary medicine, disease prevention, and population health.
• Develop methods or apply existing AI approaches to generate new scientific knowledge.
• Maintain an extramurally funded research program with translational impact.
• Maintain a teaching program for veterinary and graduate students on AI/ML topics.
• Collaborate across computer science, data analytics, public health, agriculture, and medicine.
• Deliver core and elective instruction in preventive medicine and AI literacy.
• Mentor MS/PhD students and postdocs in applied data science.
• Engage with regulatory agencies and external stakeholders to advance the field.
• Participate in OSU AI(x) Hub activities and university governance.

Skills

AI/ML expertise

Translational research

Teaching and mentoring

Cross-disciplinary collaboration

Education

DVM (or equivalent)

PhD in Epidemiology/ Veterinary Preventive Medicine/ Biomedical Informatics/ CS/ Data Science

Job description

Assistant/Associate Professor of Artificial Intelligence and Machine Learning in Veterinary Population Health

The Ohio State University

Columbus, OH

The Department of Veterinary Preventive Medicine in the College of Veterinary Medicine at The Ohio State University invites applications for a full-time, tenure-track faculty appointment at the rank of Assistant or Associate Professor, specializing in Artificial Intelligence (AI) and Machine Learning (ML). We seek an AI/ML scholar whose research focuses on developing and applying innovative computational methods to address critical challenges in veterinary medicine, disease prevention and control, and population health. Ideal candidates will have a strong background in AI/ML and a demonstrated ability to translate advanced analytical approaches into meaningful discoveries and practical applications relevant to animal health and welfare. This position complements The Ohio State University’s AI Hiring Initiative to harness AI to revolutionize the translation of ideas to real-world solutions for Ohio and beyond.
The primary responsibilities of this position will be to conduct innovative, translational research at the intersection of advanced computational data science and veterinary medicine. Candidates must demonstrate significant AI/ML expertise as a core element of their scholarship through the development of novel methods or the application of existing approaches that generate new scientific knowledge, methodological advances, or practice solutions for veterinary preventive medicine and population health. The successful candidates will maintain an extramurally funded research program that prioritizes translational science discoveries using novel approaches that support animal health and/or welfare. The position is intended for faculty whose scholarly contributions are centered on AI/ML and their advancement or innovative application in veterinary and population health contexts, rather than the routine use of existing AI tools.
The successful candidate is expected to maintain a teaching program. Teaching responsibilities will include providing instruction to veterinary and graduate students on topics that may include preventive medicine, animal welfare, and/or disease diagnosis and prevention and control. The candidate may also be expected to develop and deliver content that expands AI literacy and promotes the responsible and effective use of AI tools in veterinary medicine and related disciplines.
The successful candidate is expected to serve in department, college, and university level initiatives including the OSU AI(x) Hub that aims to pioneer AI innovation for the public good. They will also have the opportunity to engage with regulatory agencies and external stakeholders to use AI to advance veterinary medicine. The specific distribution of effort will be adjusted to reflect the strengths and interests of the successful candidate but will remain predominately focused on research.

Performance Objectives

• Conduct translational researchusing AI/MLapproachesto address challenges in veterinary medicine, disease preventionand control, and population health. Illustrative examplesinclude:
• Traditional and syndromic disease surveillance
• Precision livestock farming,herd health informatics, and integrated decision support
• Predictive modelingfordisease prevention,diagnosis,treatment, and population healthand welfaremanagement
• Populationgenomics,geneticsand epidemiological forecasting
• Develop andmaintaina nationally and internationally recognized, extramurally funded research program focused on applied AI and machine learning in preventiveveterinarymedicine and population health.
• Collaborate across disciplines (e.g., computer science, data analytics, public health,agriculture, medicine,and veterinary medicine) to foster cross-cutting research.
• Deliver high-quality instruction incore and elective topics, which may include veterinary preventive medicine, epidemiology, animal welfare, and data-drivendiseaseprevention and control
• Contribute to educational activities thatexpandAI literacyand promotetheresponsibleuse and evaluationofAIin veterinary medicine
• Mentorgraduatestudents (MS/PhD) and postdoctoral fellows in applied data science and population health
• Engage with profession organizations, regulatory agencies, and industry stakeholders to advance the field of veterinary medicine
• Provide service to the department, college, and university through committee participation, academic governance, and participation inOSUAI(X) Hub.

Education and Experience Requirements

Ideal candidates willdemonstratesignificant AIexpertiseas a core element of their scholarship whether through the creation of new AI methods or novel use of AI techniques that materially advance knowledge, methods, or practice in their discipline.

• DVM (or equivalent) or a PhD in Epidemiology, Veterinary Preventive Medicine, Biomedical Informatics, Computer Science, Data Science, or a closely related field.
• Demonstratesatrack recordofscholarship centered onAI/ML methodologies applied to biological, medical, or population-level data.
• Evidence of, or strong potential for, securing extramural research funding.
• Strong communicationskills

Desired:

• Both a DVM and a PhD in an AI relevant field
• Board certification (or eligibility) ina relevant veterinary specialty (e.g., ACVPM, ACZM, ACVM)
• Hands-on experience deploying AI/ML models in practical, clinical, agricultural, or wildlife settings
• Prior experience teaching epidemiology, biostatistics, or digital health concepts to non-computational learners

Additional Information

The offer for this position will be based on internal equity and the candidate's qualifications.
Ohio State provides access to a depth and breadth of opportunities and resources. Starting your first day, Ohio State offers you a comprehensive benefits package.
The university is an equal opportunity employer, including veterans and disability.