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Phd Computer Science Jobs in Iowa City, IA (NOW HIRING)

Phd Computer Science information

See Iowa City, IA salary details

$54.5K

$80.2K

$94.5K

How much do phd computer science jobs pay per year?

As of May 28, 2026, the average yearly pay for phd computer science in Iowa City, IA is $80,151.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $90,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

Is IT worth doing a PhD in CS?

A PhD in Computer Science can be valuable for careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study, research, and publication, and can lead to higher-level positions but may not be necessary for most industry jobs that value practical skills and experience. Consider your career goals and whether the research focus aligns with your interests before pursuing a PhD.
What are popular job titles related to Phd Computer Science jobs in Iowa City, IA? For Phd Computer Science jobs in Iowa City, IA, the most frequently searched job titles are:
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What cities near Iowa City, IA are hiring for Phd Computer Science jobs? Cities near Iowa City, IA with the most Phd Computer Science job openings:
Infographic showing various Phd Computer Science job openings in Iowa City, IA as of May 2026, with employment types broken down into 3% As Needed, 52% Full Time, 26% Part Time, 16% Contract, and 3% Nights. Highlights an 31% Physical, 12% Hybrid, and 57% Remote job distribution, with an average salary of $80,151 per year, or $38.5 per hour.
Data Analyst - Physical Therapy & Rehabilitation Science

Data Analyst - Physical Therapy & Rehabilitation Science

The University Of Iowa

Iowa City, IA • On-site

Other

Medical, Dental, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


University Of Iowa rating

6.8

Company rating: 6.8 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

400th of 528 rated colleges and universities


Job description

The Data Analyst will primarily clean, maintain, analyze, publish, and develop reports for incoming national data from several methods of assessment including surveys and other measures of human performance. The Data Analyst will develop, analyze, and maintain national benchmarks for over 150 academic healthcare training Institutions nationwide.

Position Responsibilities:

  • Use high end algorithms to clean, maintain, analyze, and generate reports for incoming national data from the physical therapy graduation questionnaire (PT-GQ), physical therapy assistant graduation questionnaire (PTA-GQ), and the clinical performance instrument (CPI) generated from a multi-centered nationwide educational project.

  • Integrate the use of artificial intelligence algorithms to forecast national trends related to the educational metrics.

  • Using high end analytics, develop an annual report with graphics and esthetics for each participating institution.

  • Develop and maintain the national educational benchmarks using the PT-GQ and PTA-GQ and embed them within the annual reports so that participating academic healthcare centers may compare their institutions data to the national averages of all participating schools (>150 and growing).

  • Manage and upgrade a Web-based Portal (PT-GQ Website) to enable participating institutions to register, upload dates for survey delivery, and receive their annual reports online.

  • Maintain effective working relationships with faculty, staff, students, and the public.

  • Perform other duties related to data analysis as assigned.

Percent of Time: 100%

Type of Position: Specified Term/One Year

P&S Pay Grade: 3B Professional and Scientific Pay Structure B | University Human Resources - The University of Iowa (uiowa.edu)

Benefits Highlights:

Regular salaried position located in Iowa City, Iowa

Fringe benefit package including paid vacation; sick leave; health, dental, life and disability insurance options; and generous employer contributions into retirement plans

For more information about Why Iowa?, click here

Required Qualifications

  • A bachelor's degree or equivalent degree in engineering/computer science or equivalent combination of education and experience is required.

  • Must be proficient in hardware, software, and data analytical techniques as related to educational metrics.

  • Excellent capacity to communicate both verbally and in writing the complex algorithm processes to enhance understanding among academic leaders nationwide.

  • Demonstrated understanding of educational metrics as they relate to learner preparedness, career regret, exhaustion, empathy, tolerance for uncertainty, and didactic competencies.

  • Demonstrated capacity to analyze complex relationships among educational metrics associated with career regret, exhaustion, empathy, tolerance, and educational debt.

  • Demonstrated ability to develop the best predictors of educational success using mathematical models including high end classification and regression tree analysis and artificial intelligence algorithms.

  • Demonstrated ability to embed educational lecture videos, and scientific publications into an AI based course to provide learner support for the academic mission.

  • Demonstrated familiarity with tools like the Clinical Performance Instrument (CPI) used to assess competency for clinical practice.

Desired Qualifications

  • At least one year of experience specifically working with a multi-centered academic educational database from the AAMC or like organization.

  • Experience with the PT-GQ benchmarking system.

  • PhD in Data Science with evidence of publications/presentations of educational research.

  • Experience in trademarking new developments in educational research.

  • Capacity to automate big data in genomic applications

  • A master's degree in computer science/data science/analytics

Application Process: In order to be considered, applicants must upload a cover letter and resume (under submission relevant materials) that clearly address how they meet the listed required and desired qualifications of this position. 

Job openings are posted for a minimum of 7 calendar days. This job may be removed from posting and filled any time after the minimum posting period has ended. Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification. For questions, contact Anne Beyerink at anne-phillips@uiowa.edu.

This position is not eligible for University sponsorship for employment authorization.

Additional Information
  • Classification Title: Data Analyst
  • Appointment Type: Professional and Scientific
  • Schedule: Full-time
Compensation
  • Pay Level: 3B
Contact Information
  • Organization: Healthcare
  • Contact Name: Anne Beyerink
  • Contact Email: anne-phillips@uiowa.edu

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