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Computer Professor Jobs in Missouri (NOW HIRING)

Ganesh Chand, Assistant Professor of Radiology, within WashU Medicine, a top-ranked medical school ... Write computer codes for the above data modalities under the guidance of the team leader. * Engage ...

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Computer Professor information

See Missouri salary details

$54.4K

$107.7K

$177.3K

How much do computer professor jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer professor in Missouri is $107,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $114,000.00 per year, depending on experience, location, and employer.

Can a 28 year old be a college professor?

A 28-year-old can become a college professor if they have the necessary qualifications, such as a master's degree or Ph.D., along with relevant teaching or research experience. Age is not a strict barrier; academic institutions typically focus on credentials and expertise. Early career professionals with strong academic backgrounds can qualify for faculty positions at this age.

How much do computer science professors make in the US?

Computer science professors in the US typically earn a median annual salary of around $100,000 to $150,000, depending on experience, academic rank, and institution type. Salaries can vary significantly based on factors such as location, research funding, and whether they hold administrative roles or research positions.

What is the difference between Computer Professor vs Computer Instructor?

AspectComputer ProfessorComputer Instructor
Required CredentialsTypically a master's or doctoral degree in computer science or related fieldUsually a certification or diploma in computer training or related area
Work EnvironmentUniversities, colleges, academic institutionsTraining centers, workshops, corporate training sessions
Employer & Industry UsageHigher education institutions, research organizationsPrivate training companies, corporate sectors, community colleges
Common Search & Comparison IntentUnderstanding academic roles, qualifications, and career pathsLearning about short-term training, certifications, and skill development

In summary, a Computer Professor typically holds advanced degrees and teaches at universities or colleges, focusing on research and academic instruction. A Computer Instructor usually provides practical training or certification courses in various settings, emphasizing skill development for immediate employment or personal growth.

Is there a shortage of computer science professors?

There is a growing demand for computer science professors due to increased enrollment in computer science programs and the need for qualified educators with expertise in programming, algorithms, and emerging technologies. However, shortages can vary by region and institution, often influenced by faculty retirement rates and competitive salaries. Strong credentials, research experience, and advanced degrees are typically required for these positions.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as university professor, research scientist, or data scientist. It also opens opportunities in industry for positions involving algorithm development, artificial intelligence, machine learning, and software architecture, often requiring strong analytical and programming skills.
What are popular job titles related to Computer Professor jobs in Missouri? For Computer Professor jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Computer Professor jobs? Cities in Missouri with the most Computer Professor job openings:
Infographic showing various Computer Professor job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $107,675 per year, or $51.8 per hour.
Part-time Faculty - Health Data Science & AI

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

$57K - $57K/yr

Part-time

Re-posted 6 days ago


Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

31st of 553 rated colleges and universities


Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.
Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine
Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine
Position Summary
The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.
Primary Responsibilities
Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:
  • Privacy, Ethics, Regulation & Policy
  • Introduction to Artificial Intelligence
  • Predictive Modeling and Machine Learning
  • Image Processing and Deep Learning
  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models
  • Reinforcement Learning for Clinical Decision Making
  • Telehealth & Telemedicine
  • AI for Precision Medicine & Genomics & Diagnostics
  • Research in Medicine

Additional responsibilities include:
  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications
Required:
  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.
  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.
  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).
  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:
  • Experience teaching graduate courses in AI, data science, or health informatics.
  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.
  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.
  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details
  • Type: Adjunct, non-tenure track
  • Rank: Assistant or Associate Professor (commensurate with qualifications)
  • Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available)
  • Start Date: Ongoing recruitment for upcoming academic terms

Application Instructions
Interested applicants should submit:
  • A cover letter outlining teaching interests and relevant experience
  • Curriculum vitae (CV)
  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.
Function
Faculty - Adjunct
Scheduled Weekly Hours:
20
Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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