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How much do data professor jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data professor in the United States is $114,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $121,500.00 per year, depending on experience, location, and employer.

How does a Data Professor typically balance research, teaching, and mentoring responsibilities within a university setting?

A Data Professor usually divides their time between conducting original research, teaching undergraduate and graduate courses, and mentoring students. Balancing these duties can be challenging, especially when research projects and teaching schedules overlap. Effective time management and collaboration with colleagues are essential, as professors often work within interdisciplinary teams and supervise student research. Many universities also encourage Data Professors to contribute to curriculum development and participate in departmental committees, providing further opportunities for professional growth.

What is the difference between Data Professor vs Data Analyst?

AspectData ProfessorData Analyst
Required CredentialsTypically a master's or PhD in data science, statistics, or related fieldsBachelor's degree in data science, statistics, or related fields; certifications helpful
Work EnvironmentAcademic or research institutions, specialized training programsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageEducational institutions, training companies, research organizationsCorporations, marketing agencies, finance, healthcare
Common Search & Comparison IntentUnderstanding advanced data education rolesAnalyzing data for business insights

The Data Professor typically focuses on advanced education, research, and training in data science, often requiring higher academic credentials. In contrast, a Data Analyst primarily works on interpreting data to support business decisions. Both roles involve data handling but differ in scope, environment, and expertise level.

What is a Data Professor?

A Data Professor is an expert in data science and analytics who typically works in academia or industry, teaching and mentoring others about data analysis, machine learning, and statistical methods. They often conduct research, create educational content, and provide guidance on best practices for handling and interpreting data. Data Professors may also work on developing new data-driven methodologies and tools, helping organizations or students understand and utilize data effectively.

What are the key skills and qualifications needed to thrive as a Data Professor, and why are they important?

To thrive as a Data Professor, you need deep expertise in statistics, data science, and related fields, typically supported by a PhD and a strong record of academic research. Familiarity with tools like Python, R, SQL, data visualization platforms, and learning management systems is essential. Exceptional communication, mentorship, and curriculum development skills help engage students and foster a collaborative learning environment. These competencies ensure effective teaching, impactful research, and the advancement of data literacy among students.
More about Data Professor jobs
What cities are hiring for Data Professor jobs? Cities with the most Data Professor job openings:
What states have the most Data Professor jobs? States with the most job openings for Data Professor jobs include:
What job categories do people searching Data Professor jobs look for? The top searched job categories for Data Professor jobs are:
Data Professor jobs near you
Infographic showing various Data Professor job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 100% In-person job distribution, with an average salary of $114,792 per year, or $55.2 per hour.
Assistant Professor - Artificial Intelligence and Data Scientist

Assistant Professor - Artificial Intelligence and Data Scientist

Baylor College of Medicine

Houston, TX • On-site

Full-time

Posted 6 days ago

Baylor College of Medicine rating

8.7

Company rating: 8.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

45th of 560 rated colleges and universities

Job description

Assistant Professor - Artificial Intelligence and Data Scientist
Division: Surgery
Work Arrangement:
Location: Houston, TX
Salary Range:
FLSA Status: Exempt
Work Schedule:
Summary
The Michael E. DeBakey Department of Surgery at the Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor - Data Scientist would serve as scientific lead with Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program to develop innovative AI applications in surgery and healthcare. The work spans AI applications in healthcare including machine vision, robotics, image analysis, natural language processing, and predictive modeling.
Under this role, the Assistant Professor will work with a team of post-doctoral computer scientists and engineers on NIH-funded research projects. The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance. The Assistant Professor will interact directly with postdoctoral fellows, graduate students, and medical students.
Job Duties
  • Oversee and coordinate logistics and execution of various research projects.
  • Manage project progress and execution of project goals and milestones.
  • Plan and direct research experiments.
  • Organize, evaluate, and analyze data with other researchers.
  • Develop research techniques and perform applications required for specific research projects.
  • Conduct literature searches and summarize information in an appropriate format for a particular study.
  • Document results of experiments and reports to principal investigators.
  • Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.
  • Write progress reports, manuscripts and grant proposals.
  • Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.
  • Supervise research staff including graduate and undergraduate students.

Minimum Qualifications
  • Ph.D. in computer science, data science, medical informatics, or related field.
  • Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 24671

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