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$60.75 - $80/hr

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As of Aug 30, 2026, the average yearly pay for associate artificial intelligence machine learning in the United States is $133,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $202,000.00 per year, depending on experience, location, and employer.

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A map of the United States highlighting the number of Associate Artificial Intelligence Machine Learning job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Associate Artificial Intelligence Machine Learning job openings in each state, with California having the most at 2 and Hawaii the least at 0.

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

Ohio State University

Columbus, OH

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description

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Job Title:Assistant/Associate Professor of Artificial Intelligence and Machine Learning in Veterinary Population HealthDepartment:Veterinary Medicine | Veterinary Preventive Medicine

Tenure faculty (regardless of rank) - persons with the titles of professor, associate professor, assistant professor and instructor who serve on appointments totaling 50% or more service to the university and who are eligible for tenure or who have obtained tenure. Duties and responsibilities are assigned in accordance with the workload guidelines laid out in the pattern of administration of each faculty member's tenure initiation unit (TIU) and, as appropriate, regional campus; obligations will include research, service and/or teaching or clinical practice. These faculty will have earned doctorate or other terminal degree in the relevant field of study or possession of equivalent experience.

Additional Information:

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

Department of Veterinary Preventive Medicine

College of Veterinary Medicine

Position Overview

The Department of Veterinary Preventive Medicinein the College of Veterinary Medicine at The Ohio State Universityinvites 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 challengesinveterinarymedicine,disease preventionand control, andpopulation health.Ideal candidates will have a strong background in AI/ML and a demonstrated ability totranslateadvancedanalyticalapproaches into meaningful discoveries and practical applicationsrelevantto animal health and welfare.This positioncomplementsThe Ohio StateUniversity'sAIHiringInitiativetoharness AI to revolutionize the translation of ideas to real-world solutions for Ohio and beyond.

The primary responsibilitiesof this positionwill be to conductinnovative,translational researchat the intersection of advanced computational data science andveterinarymedicine.Candidates mustdemonstratesignificant AI/MLexpertiseas a core element of their scholarshipthrough thedevelopmentof novel methods or the application ofexistingapproaches that generate new scientific knowledge, methodologicaladvances, or practice solutions for veterinary preventive medicine and populationhealth.The successful candidates willmaintainan extramurally funded research program thatprioritizestranslationalscience discoveriesusingnovel approaches that support animal healthand/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 healthcontexts, rather than the routine use ofexisitingAI tools.

In addition to research,the successful candidate is expected tomaintaina teaching program. Teaching responsibilities will include providing instruction to veterinary and graduate students on topics that may include preventivemedicine, animal welfare, and/or diseasediagnosis andpreventionand control.Thecandidate mayalsobe expectedto develop and deliver contentthat expands AI literacy and promotes the responsible and effective use of AI tools in veterinary medicine and related disciplines.

The successful candidate is expected toservein department, college, and university levelinitiativesincluding the OSU AI(x)Hub

that aims topioneerAI innovation for the public good.They will alsohave the opportunity toengagewith regulatory agencies and external stakeholderstouse AI to advance veterinary medicine.The specific distribution of effort will be adjusted toreflect the strengths and interests of the successful candidate but will remainpredominately focusedon 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 evaluation ofAIin 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.

For this search, "AI" includes (but is not limited to)MachineLearning(ML),DeepLearning,ReinforcementLearning,Optimization for/with ML,ProbabilisticModeling,Trustworthy/responsible AI (fairness, safety, privacy, robustness, interpretability),Human-centered AI,NaturalLanguageProcessing (NLP),ComputerVision,Robotics,Scientific/Physics-informed MachineLearning (ML),AISystems andInfrastructure,Domain-driven AI advancements in and across disciplines.

In addition to the disciplinary requirements for potential selection as a faculty, a qualified candidate willdevelop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models,evaluationframeworks,datasets/benchmarks, or system designs),design/adapt AI approaches to solve previously intractable questions in a domain leading togeneralizableinsightsadvancements.

Routine use of off-the-shelf AI tools thatdoesnot producemethodological innovation, orfield-advancing knowledgeis not sufficient for an AI facultyhirefor this initiative.

Required:

  • 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 acomprehensive benefits package.

How to Apply

To be considered, pleasesubmityour application electronically via Workday [insert link toposting foradvertisements]. Application materials must include:

Application closes09/15/2026

Required:

  • Cover letter

  • Curriculum Vita (CV)

  • Statement of Research

  • Statement of Teaching and Mentoring

Additionalinformationregardingthis search or the position can be obtained by contacting Dr. Greg Ballash atballash.4@osu.edu.

The College

The Ohio State University College of Veterinary Medicine (OSU CVM) is a nationally recognized leader in veterinary education, research, and clinical service, committed to improving animal and human health through innovation and collaboration. Home tostate-of-the-artfacilities and a vibrant academic community, the College offers exceptional opportunities for professional growth, interdisciplinary partnership, and impactful scholarship.The Ohio State University College of Veterinary Medicine is ranked among the top North American Colleges of Veterinary Medicine. We support diverse beliefs and the free exchange of ideas and expect that faculty, staff, and students promote these values and apply them in a professional manner in all academic endeavors.

Department Information

The Department of Veterinary Preventive Medicine provides the major preventive medicine and public health focus for the OSU College of Veterinary Medicine. There are approximately 30 faculty members in the departmentlocatedat the College of Veterinary Medicine in Columbus and The Ohio State Large Animal ServicesatMarysville. The department has world-class facilities and strong collaborative programs that focus on a wide variety of animal populations. This infrastructure provides extensive teaching resources and considerable opportunity for collaborative research. The application of innovative approaches to problem solving and collaborative effortshaveenabled faculty in the department to be competitive in obtaining external funding and be successful in training high-quality graduate and veterinary students.

The University

Ohio State is atop-20public university, and its Ohio State Wexner Medical Center is one of America's leading academic health centers. Eligible Ohio State employees receive comprehensive benefits packages, including medical, dental and vision insurance, tuitionassistancefor employees and their dependents, and state or alternative retirement options with competitive employer contributions.

Grounded inOhio State University'sShared Values, our university community welcomes differences, encourages open-minded exploration and courageous thinking, and upholds freedom of expression.

Ohio State is a dynamic community where opportunity thrives, and individuals transform themselves and their world. Positions are available incountless fields and specialties. Become a Buckeye and contribute to an incredible legacy that serves to guide our future and shape a better tomorrow.

The OhioState University is committed to enhancing academic excellence. Recruiting, supporting, andretainingfaculty of the highest caliber is a corecomponentof this commitment. The Office of Academic Affairs (OAA) hasestablishedcentralresourcesto focus onofferingsupport tonew and prospective facul...