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$58K

$114.8K

$189K

How much do data professor jobs pay per year?

As of May 29, 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.

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.

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 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 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.

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:
Informatics and Health Data Science- Research Asst. Professor

Informatics and Health Data Science- Research Asst. Professor

The University of Miami

Miami, FL • On-site

Full-time

Posted 5 days ago


University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

209th of 529 rated colleges and universities


Job description

Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet.
Job Profile Name:
Res. Assistant Professor
Job Code: JP3_24102
Job Family Group:
Research
FLSA Status: Exempt
Job Family:
Researchers
Career Level: P4
Created/Revision Date:
8/1/2017, 1/1/2024
Grade:
CORE JOB SUMMARY
The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University's research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University's reputation as a leader in the field.
CORE JOB FUNCTIONS
Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets.
This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
CORE QUALIFICATIONS
Education:
Ph.D., M.D. or other doctoral level degree relevant field
Certification and Licensing:
Not Applicable
Experience:
Minimum 1 year of relevant experience
Knowledge, Skills and Attitudes:
  • Skill in collecting, organizing, and analyzing data.
  • Ability to recognize, analyze, and solve a variety of problems.
  • Ability to exercise sound judgment in making critical decisions.

DEPARTMENT ADDENDUM
Department Specific Functions
The Department of Informatics and Health Data Science (DIHDS), Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement by breaking down the artificial barriers that separate discovery, development, and deployment of new solutions. Investigators at The MIL are reimagining and harnessing technologies available today, while inventing the solutions of tomorrow and are aspiring to create a legacy of insight and impact and to be a trusted voice in digital health, technology and transformation.
The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science.
Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes.
An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged.
We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology.
Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL.
This role collaborates with researchers to develop high throughput data processing and analysis capability.
Directs and guides database searches and the computational analysis of resulting data.
May assist in grant and other funding applications, as necessary and appropriate.
Demonstrated ability to function as part of a team. Performs other responsibilities as required.
This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding.
Department Specific Qualifications
Education:
PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects' datasets).
Certification and Licensing:
Type Here
Experience:
Type Here
Knowledge, Skills and Attitudes:
  • Type Here

PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT
The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Working Conditions
Environmental Dimension
Never
Occasionally
Frequently
Constantly
Conditions of extreme heat or extreme cold
x
Wet/Humid conditions
x
Fumes/Dust/Dirt/Smoke
x
Confined areas
x
High places
x
Equipment in motion
x
High noise levels
x
Environmental hazards
x
Exposure to TB
x
Exposure to Blood-borne Pathogens
x
Exposure to Radiant Energy
x
Outdoor/Exposed areas
x
Equipment Used
Equipment Used
Never
Occasionally
Frequently
Constantly
Vehicle Type
Operate vehicles (Select Vehicle)
x
Use hand tools
x
Use power tools
x
Physical Requirements
Physical Dimension
Never
Occasionally
Frequently
Constantly
Weight
Sitting
x
Standing
x
Walking
x
Stooping/Climbing
x
Carrying
x
Kneeling
x
Crouching
x
Bending
x
Crawling
x
Reaching
x
Handling
x
Sensory Requirements
Sensory Dimension
Never
Occasionally
Frequently
Constantly
Vision Type
Vision
x
Depth Perception
x
Color Vision
x
Peripheral
x
Concentration
x
Use of keyboard or touchscreen
x
Talking
x
Feeling
x
Smelling
x
The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This is a job profile description and not all duties may be assigned to a specific position in each individual department.
End of Job Description
Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet.
Job Status:
Full time
Employee Type:
Faculty

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About University of Miami

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The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925