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Engineering Psychologist Jobs in Iowa (NOW HIRING)

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Engineering Psychologist information

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$10.3K

$87.2K

$374.3K

How much do engineering psychologist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for engineering psychologist in Iowa is $87,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $109,900.00 per year, depending on experience, location, and employer.

What is an engineering psychologist?

Engineering psychologists are professionals who study how people interact with machines, systems, and technology in order to improve usability, safety, and efficiency. They apply principles from psychology to the design of products, workplaces, and environments to enhance user experience and reduce human error. Their work is crucial in fields like transportation, healthcare, consumer electronics, and ergonomics, making technology more accessible and user-friendly.

What does an engineering psychologist do?

An engineering psychologist focuses on adapting and improving equipment, technology, and work environments to enhance human capabilities and behavior. As an engineering psychologist, your responsibilities include evaluating the human factors in a workplace, creating guidelines and making changes to guarantee the safety of employees, and explore ways in which workplaces can be made more inclusive and available to people with disabilities. Other duties include analyzing machinery, products, and employee practices to determine if changes are necessary to promote better ergonomics and safety. You typically work with other engineers, stakeholders, and executives to make changes and improvements.

What are the key skills and qualifications needed to thrive as an engineering psychologist, and why are they important?

To thrive as an Engineering Psychologist, you need a solid background in psychology, human factors, and experimental design, typically supported by at least a master's or doctoral degree in psychology or a related field. Familiarity with usability testing tools, statistical analysis software (such as SPSS or R), and human-computer interaction systems is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with engineers and designers to optimize user experience. These skills ensure that products, systems, and environments are designed for maximum usability, safety, and efficiency, directly impacting user satisfaction and performance.

How do engineering psychologists typically collaborate with design and engineering teams during the product development process?

Engineering psychologists play a vital role in bridging the gap between human behavior and technology. They often work closely with multidisciplinary teams—including designers, engineers, and product managers—to ensure that products are user-friendly and align with human capabilities. This collaboration usually involves conducting user research, usability testing, and providing feedback on prototypes, helping teams make evidence-based decisions throughout the development cycle. Their input is crucial for identifying potential human errors and enhancing overall user experience, making their contributions highly valued across various industries.

What is the difference between Engineering Psychologist vs Human Factors Specialist?

AspectEngineering PsychologistHuman Factors Specialist
CredentialsMaster's or Ph.D. in psychology, human factors, or related fieldMaster's or Ph.D. in human factors, psychology, or ergonomics
Work EnvironmentResearch labs, government agencies, private industryDesign firms, healthcare, transportation, government agencies
Industry UsageDesigning user interfaces, safety protocols, ergonomic systemsOptimizing product usability, safety, and performance

Engineering Psychologists and Human Factors Specialists often share similar educational backgrounds and work environments. Both focus on improving human interaction with systems and products. However, Engineering Psychologists tend to emphasize research and experimental methods, while Human Factors Specialists often focus more on applied design and usability testing. Both roles are vital in industries like technology, healthcare, and transportation, ensuring safety and efficiency for users.

Is there a job that combines psychology and engineering?

An engineering psychologist is a professional who combines principles of psychology and engineering to improve human interaction with technology and systems. They often work in areas such as user experience, ergonomics, and human factors, utilizing skills in research, data analysis, and design to optimize safety and efficiency in engineering environments.
More about Engineering Psychologist jobs

What are popular job titles related to Engineering Psychologist jobs in Iowa?

For Engineering Psychologist jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Engineering Psychologist jobs in Iowa look for?

The top searched job categories for Engineering Psychologist jobs in Iowa are:

Engineering Psychologist jobs near you
Infographic showing various Engineering Psychologist job openings in Iowa as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $87,176 per year, or $41.9 per hour.

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

Davenport, IA • On-site

$125K/yr

Full-time

Posted 9 days ago

Key responsibilities

  • Identify, assess, and retrieve relevant structured and unstructured data sources for data science projects.

  • Clean, transform, and integrate data from multiple sources to prepare it for analysis.

  • Apply data-mining models and statistical methods to analyze data, evaluate results, and support decision-making.

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

312th of 856 rated public administrative organizations

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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