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Associate Professor Computer Science Jobs in Lees Summit, MO

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Associate Professor Computer Science information

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$40.4K

$85.9K

$150.3K

How much do associate professor computer science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for associate professor computer science in Lees Summit, MO is $85,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $109,500.00 per year, depending on experience, location, and employer.

What does an associate professor of computer science do?

An Associate Professor of Computer Science is a mid-level faculty member at a college or university who teaches undergraduate and graduate courses, conducts research in computer science, and publishes scholarly work. They also supervise students, mentor junior faculty, and may participate in curriculum development and academic committees. In addition to teaching and research, Associate Professors often contribute to their academic community through service, such as organizing conferences or reviewing papers. Promotion to this rank usually follows demonstrated excellence in teaching, research, and service over several years as an Assistant Professor.

What are the key skills and qualifications needed to thrive as an associate professor of computer science, and why are they important?

To thrive as an Associate Professor of Computer Science, you need an advanced degree (typically a PhD) in computer science or a related field, with a strong track record in research, teaching, and publications. Familiarity with programming languages, learning management systems (such as Canvas or Blackboard), and research tools like MATLAB or Python is typically required. Excellent communication, mentorship, and collaboration skills help foster student engagement and interdisciplinary partnerships. These competencies are crucial for advancing research, delivering effective instruction, and contributing to the academic community.

What opportunities for interdisciplinary collaboration are available to associate professors in computer science?

As an Associate Professor in Computer Science, you will often have the chance to collaborate with faculty and researchers from various departments such as engineering, medicine, business, and the social sciences. Many universities encourage interdisciplinary projects, allowing you to contribute your computing expertise to diverse research initiatives. These collaborations can enhance your research portfolio and open up new funding opportunities. Additionally, interdisciplinary work often leads to broader impacts and can help build professional networks both within and outside your institution.

What is the difference between Associate Professor Computer Science vs Assistant Professor Computer Science?

CriteriaAssociate Professor Computer ScienceAssistant Professor Computer Science
Required CredentialsPh.D. in Computer Science or related field, significant research and teaching experiencePh.D. in Computer Science or related field, typically early in academic career
Work EnvironmentUniversity faculty, research, teaching, service responsibilitiesUniversity faculty, research, teaching, service responsibilities
Employer & Industry UsageHigher academic rank, more responsibilities, often involved in departmental leadershipEntry-level faculty position, focus on establishing research and teaching

The main difference between Associate Professor Computer Science and Assistant Professor Computer Science lies in experience and rank. Associate Professors have more research, teaching, and service experience, often holding a higher academic rank with additional responsibilities. Assistant Professors are typically early-career faculty members working towards promotion. Both roles require a Ph.D. and are common in university settings, but the Associate Professor position signifies a more advanced career stage.

What cities near Lees Summit, MO are hiring for Associate Professor Computer Science jobs?

Cities near Lees Summit, MO with the most Associate Professor Computer Science job openings:

Associate Professor Computer Science jobs near you

Assistant/Associate Professor - Biostatistics & Data Science (AI Focus)

Kansas City, KS • On-site

KUMC University of Kansas Medical Center
See more jobs at KUMC University of Kansas Medical Centerexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Department:SOM Department of Biostatistics

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FacultyPosition Title:Assistant/Associate Professor - Biostatistics & Data Science (AI Focus)Job Family Group: AcademicJob Description Summary:The Department of Biostatistics & Data Science at the University of Kansas Medical Center (KUMC) is partnering with The University of Kansas Cancer Center (KUCC) to invite applications for a tenure-track faculty position in Statistical Artificial Intelligence (AI) and Biomedical Data Science. The incumbent will establish and maintain external funding while collaborating with investigators across KUMC's nationally recognized research centers and institutes. The incumbent will join a collaborative department with internationally recognized expertise in biostatistics, statistical omics, bioinformatics, Bayesian methodology, clinical trials, and data science, and will have opportunities to collaborate with investigators across the University of Kansas Cancer Center, Kansas Institute for Precision Medicine, Frontiers Clinical and Translational Science Institute, the Alzheimer's Disease Research Center and the newly established Enhanced Artificial Intelligence Center for Human-Focused Research. In addition to developing an innovative research program, the faculty member will contribute to the Department's educational mission through excellence in teaching and mentoring graduate students in biostatistics, data science, and related disciplines.Job Description:

Job Duties

  • Develop and maintain external funding in statistical artificial intelligence and biomedical data science.

  • Develop novel statistical and AI methodologies motivated by important biomedical problems.

  • Collaborate with KUCC investigators, as well as investigators across KUMC's research centers and institutes.

  • Teach graduate courses in biostatistics, statistics, artificial intelligence, machine learning, and data science.

  • Participate in the mentoring of graduate students, postdoctoral fellows, and staff.

  • Participate in departmental, institutional, and professional service activities.

  • Contribute to strategic initiatives involving the Enhanced Artificial Intelligence Center for Human-Focused Research and other interdisciplinary programs across KUMC.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.

Required Qualifications

Education: PhD in Biomedical Informatics, Computer Science, Biostatistics, Statistics, Data Science, or related field.

This position requires a formal degree in the cited discipline area(s) to ensure that candidates have the foundational knowledge and skill set required to perform the duties of the position. The level of degree is based on accreditation requirements, institutional standards of academic and professional excellence, alignment with peer institution benchmarks, and contributes to the credibility and effectiveness of the role within the university community.

Work Experience:

  • Experience with artificial intelligence, machine learning, or statistical learning.

  • Experience developing or applying statistically principled AI methodologies.

  • Experience with interdisciplinary collaboration in biomedical research.

Preferred Qualifications

Work Experience:

  • Teaching experience in statistics, biostatistics, machine learning, artificial intelligence, or data science.

  • Research collaboration experience in cancer, obesity/metabolic disease, or precision medicine.

  • Experience with one or more of the following: medical image analysis, computational pathology, multi-omics integration, electronic health record analysis, Spatial 'omics, Reinforcement learning for healthcare, explainable AI, machine/deep learning, Bayesian machine learning, or causal AI.

Skills

  • Communication skills

Required Documents

  • Resume/CV

  • Cover Letter

If selected as a final candidate for this position, you may be required to complete the Association of American of Universities Representations and Warranties document and sign a release of records that will allow the University of Kansas Medical Center to conduct a further background check with former employers. A copy of the Representations and Warranties document can be found here.

Comprehensive Benefits Package:

Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html

Employee Type: RegularTime Type: Full time

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