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What are the key skills and qualifications needed to thrive as a Data Science Professor?

To thrive as a Data Science Professor, you need a robust background in statistics, machine learning, and programming, typically supported by a Ph.D. in data science, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and big data platforms, along with experience in publishing research, is highly valued. Strong communication, mentorship, and organizational skills help in delivering effective lectures, guiding student projects, and collaborating with peers. These abilities are critical for providing high-quality education, advancing research, and preparing students for real-world data science careers.

What does a Data Science Professor do?

A Data Science Professor teaches courses on data science, machine learning, and statistics at a university or college. They conduct research in areas like artificial intelligence, big data, or analytics while mentoring students in academic and professional development. Their role also includes publishing research papers, securing grants, and collaborating with industry partners to advance data science education and innovation.

What are popular job titles related to Data Science Professor jobs in Ohio? For Data Science Professor jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Science Professor jobs in Ohio look for? The top searched job categories for Data Science Professor jobs in Ohio are:
What cities in Ohio are hiring for Data Science Professor jobs? Cities in Ohio with the most Data Science Professor job openings:
Data Science Professor jobs near you
Infographic showing various Data Science Professor job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Research Asst/Assoc/Full Professor, Department of Biostatistics, Health Informatics and Data Sc[...]

Itlearn360

Cincinnati, OH • On-site

$130 - $190/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

Research Assistant/Associate/Full Professor, Department of Biostatistics, Health Informatics and Data Science – University of Cincinnati, Cincinnati, OH.

Current UC employees must apply internally via SuccessFactors.

Job Overview

The Department of Biostatistics, Health Informatics and Data Sciences at the University of Cincinnati College of Medicine focuses on education, research, and team science involving biomedical data sciences and informatics. The department has 12 full‑time faculty, a PhD program in Biomedical Informatics, and a PhD program in Biostatistics and Data Sciences. It offers rich collaborative opportunities in basic, translational, and clinical research.

We are seeking a full‑time faculty member to establish an independent research program in methodological and collaborative research focused on Generative Artificial Intelligence and its applications in healthcare and biomedicine. The ideal candidate holds a PhD and demonstrates strong methodological expertise in generative AI, machine learning, decision support methods, and the evaluation and validation of AI‑driven decision support systems in medical and clinical settings.

The candidate should have a strong research record with peer‑reviewed publications and extramural funding, and formal training in at least two of the following areas: biostatistics, data sciences, computational methods in biodata sciences, knowledge retrieval, or informatics.

Responsibilities will include collaborating on cutting‑edge research, advancing AI methodologies in healthcare, mentoring students and trainees, and contributing to the department’s educational mission by developing and teaching one or more courses on generative AI applications in healthcare and medicine.

Essential Functions
  • Develop and maintain an externally funded research program.
  • Apply AI expertise in team science projects.
  • Develop and teach one or more courses on generative AI applications in healthcare and medicine.
  • Advise graduate students, research associates, and faculty.
Minimum Requirements
  • PhD degree with formal training in at least two of the following areas: biostatistics, data sciences, computational methods, knowledge retrieval, or informatics.
  • Strong publication record in peer‑reviewed journals.
  • Associate Professor-level candidates should have a strong record of extramural funding.
Required Experience
  • Successful record of research funding for Associate or Professor rank.
  • Strong record of publications.
  • Experience mentoring research faculty and trainees.
Additional Qualifications Considered
  • Excellent communication and teaching skills.
  • Demonstrated knowledge of outcomes, research methodology, and implementation.
  • Proven ability to work collaboratively in multidisciplinary teams.
Resources
  • Start‑up funding.
  • Core support that matches the level of experience and funding.
Compensation and Benefits

UC offers an exceptional benefits package designed to support well‑being, financial security, and work‑life balance.

  • Competitive salary based on experience.
  • Comprehensive health coverage (medical, dental, vision, prescription).
  • Flexible spending accounts and wellness programs.
  • Professional development and mentorship opportunities.
  • Comprehensive tuition remission for you and eligible dependents.
  • Robust retirement plans – choice between state pension plans (OPERS, STRS) or an Alternative Retirement Plan (ARP) with UC contributing 14–18% of salary.
  • Generous time‑off policy: vacation and sick time; 11 paid holidays and additional end‑of‑year paid time off; 6 weeks of paid parental leave for new parents.
Legal Statements

UC is an E‑Verify employer. If hired for this position, you must provide satisfactory proof of employment eligibility by presenting original forms of identification for the Federal I‑9 employment verification process.

The University of Cincinnati is an Equal Opportunity Employer.

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