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Computer Science Faculty Jobs in Spring, TX (NOW HIRING)

Lone Star College

Adjunct Faculty, History

Houston, TX · On-site

The 55,000 square-foot facility offers 14 classrooms, two computer labs and two science labs for ... Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis, contingent upon ...

Rice University

Research Scientist

Houston, TX · On-site

$63K - $80K/yr

... computer science, mechanical engineering, physics, or a related field Two or more (2+) years of ... aspirations of faculty, staff, and students in an inclusive environment. We seek greater ...

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All JobsComputer Science Faculty JobsComputer Science Faculty Jobs in Spring, TX

Computer Science Faculty information

See Spring, TX salary details

$50.3K

$74K

$87.2K

How much do computer science faculty jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer science faculty in Spring, TX is $73,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $83,200.00 per year, depending on experience, location, and employer.

What is a computer science faculty?

Computer Science Faculty are educators and researchers who teach computer science courses at colleges or universities. They develop curriculum, deliver lectures, guide students in labs, and advise on academic matters. In addition to teaching, they often conduct research, publish scholarly articles, and contribute to advancements in the field. Their roles may also include participating in departmental service, mentoring students, and collaborating with industry partners. Computer Science Faculty play a critical role in shaping future technology professionals and researchers.

What are some of the common challenges computer science faculty face when balancing teaching, research, and service responsibilities?

Computer Science Faculty often juggle multiple responsibilities, including preparing and delivering lectures, conducting research, publishing papers, advising students, and participating in departmental or university service. Balancing these diverse tasks can be challenging, especially during peak times like grading periods or grant application deadlines. Effective time management, clear communication with colleagues, and leveraging institutional support are essential strategies to manage these competing demands. Many institutions also encourage collaboration among faculty to share resources and lighten individual workloads.

What are the key skills and qualifications needed to thrive as a computer science faculty, and why are they important?

To thrive as a Computer Science Faculty, you need advanced knowledge of computer science concepts, a relevant graduate degree (often a Ph.D.), and experience in teaching or research. Familiarity with programming languages, learning management systems (LMS), and research tools like version control systems or data analysis software is typically required. Strong communication, mentorship, and organizational skills help faculty engage and inspire students while collaborating with colleagues. These skills and qualities are crucial for delivering high-quality education, fostering student success, and advancing research initiatives in academic settings.

What is the difference between Computer Science Faculty vs Computer Science Lecturer?

AspectComputer Science FacultyComputer Science Lecturer
Required CredentialsTypically PhD in Computer Science or related fieldMaster's degree or equivalent in Computer Science or related field
Work EnvironmentUniversities, colleges, research institutionsUniversities, colleges, technical institutes
Employer & Industry UsageHigher education institutions, research-focusedHigher education institutions, teaching-focused
Common Search & Comparison IntentAcademic roles, research, teaching responsibilitiesTeaching roles, academic positions, entry to mid-level faculty

Computer Science Faculty generally hold doctoral degrees and focus on both teaching and research at universities. In contrast, Computer Science Lecturers often have master's degrees and primarily focus on teaching undergraduate courses. Both roles are found in higher education but differ in qualifications, responsibilities, and career paths.

What are popular job titles related to Computer Science Faculty jobs in Spring, TX?

For Computer Science Faculty jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Computer Science Faculty jobs in Spring, TX look for?

The top searched job categories for Computer Science Faculty jobs in Spring, TX are:

What cities near Spring, TX are hiring for Computer Science Faculty jobs?

Cities near Spring, TX with the most Computer Science Faculty job openings:

Computer Science Faculty jobs near you
Infographic showing various Computer Science Faculty job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $73,958 per year, or $35.6 per hour.

Assistant Professor - Artificial Intelligence and Data Scientist

Baylor College of Medicine

Houston, TX • On-site

Full-time

Re-posted 2 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

188th of 618 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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