Psychometrician

Ascend Learning

Deutschland

Vor Ort

EUR 70.224 - 105.337

Vollzeit

14 Tage+

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Benefits dieser Stelle

Flexible paid time off
401(k) matching
Tuition reimbursement
On-site workout facilities

Zusammenfassung

Ascend Learning is seeking a Psychometrician responsible for analyzing assessment instruments across various educational programs. Flexible remote work is available within the United States, with occasional travel required.

The ideal candidate should have a PhD in educational research, at least 3 years of experience, and proficiency in statistical tools such as SAS, R, and Python.

Benefits include competitive medical insurance, generous PTO, 401(k) matching, and tuition reimbursement.

Qualifikationen

  • PhD in educational research, measurement and statistics is required.
  • 3+ years of experience in certification or licensing exam development.
  • Experience in job task analyses to identify necessary knowledge and skills.

Aufgaben

  • Perform psychometric and statistical analyses using CTT and IRT.
  • Communicate psychometric concepts to both technical and non-technical audiences.
  • Design and conduct efficacy evaluations of assessments.

Kenntnisse

Data analysis skills
Statistical modeling
Communication skills
Research skills
Time management

Ausbildung

PhD or equivalent doctoral degree in educational research or related field

Tools

SAS
R
Python

Jobbeschreibung

Psychometrician

Category: Research & Development

Req ID: 1193

Date: Jun 24, 2026

Location: Leawood, KS, US, 66211 Remote, US

We Impact Lives Through Purpose-Driven Work in A People First Culture

Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America’s 2025 Greatest Workplaces as well as America’s Best Places to work for Mental Well-Being for 2025.

We’re always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you’d thrive, read on to learn more.

WHAT YOU’LL DO

As a Psychometrician, you will be responsible for assembling, analyzing, and scoring Ascend Learning’s assessment instruments across a wide range of educational programs—including nursing, allied health, emergency services, fitness, and other high-growth professions. You will apply psychological principles and statistical methods to ensure the reliability, validity, and fairness of our assessments, supporting product development and ensuring the accuracy of scores provided to clients. In addition to operational psychometric work, you will design and conduct efficacy studies, predictive validity research, and other investigations that enhance the use and impact of our assessments and learning products.

WHERE YOU’LL WORK

This position offers flexibility of remote work within the United States. Occasional travel will be required.

HOW YOU’LL SPEND YOUR TIME
  • Perform psychometric and statistical analyses using Classical Test Theory (CTT) and Item Response Theory (IRT) and interpret results to inform decision-making
  • Communicate complex psychometric concepts clearly and effectively – both orally and in writing – to diverse audiences, including non-technical stakeholders
  • Collaborate with cross-functional teams to identify challenges and develop solutions related to product development and client services (internal and external)
  • Analyze current and emerging measurement challenges, conduct research, and propose actionable solutions, and communicate findings in a clear and impactful manner
  • Contribute to research initiatives aimed at enhancing the fairness, validity, and effectiveness of assessments and learning products
  • Contribute to analyzing and reporting on state and national pass rates and retention
  • Design and conduct efficacy evaluations of learning products and assessments
  • Design and conduct predictive validity research
  • Document and disseminate research findings through presentations, reports, or publications to support internal and external stakeholders
WHAT YOU'LL NEED
  • PhD or equivalent doctoral degree in educational research, measurement and statistics, or educational psychology is required. Candidates must have completed graduate-level coursework in measurement theory, test equating, and advanced statistical modeling (e.g., multivariate modeling, structural equation modeling)
  • 3+ years of relevant work experience is required, with a preference for experience in certification or licensing exam development
  • Experience conducting job task analyses to identify the knowledge, skills, and abilities required for competent performance in a profession
  • Ability to lead or support standard-setting studies, including coordination with subject matter experts to establish defensible passing scores
  • Demonstrated proficiency in SAS, R, and Python for data manipulation, statistical analysis, and psychometric modeling
  • Experience conducting operational psychometric analyses (e.g., Rasch analysis, equating, item analysis, DIF) and producing technical documentation such as statistical summary reports, policy and procedure manuals, professional manuscripts, and presentations)
  • Experience conducting psychometric research, including study design, data collection, data analysis, and dissemination of results
  • Skill in conveying complex, technical, or quantitative information to non-technical audiences.
  • Experience designing and conducting efficacy evaluations of learning products and assessments
  • Experience designing and conducting predictive validity research
  • Experience designing and conducting research on differences in student usage or performance across student demographic groups
  • Strong written and verbal communication skills, with the ability to convey complex, technical, and quantitative information to non-technical audiences
  • Excellent time management skills, including the ability to prioritize tasks, meet deadlines consistently, and maintain high attention to detail
  • Basic proficiency in database management, including working with relational tables, developing data integrity protocols, and creating visualizations such as charts and graphics
  • Experience in planning and facilitating exam-related meetings and workshops (e.g., job/practice analysis, standard-setting, item development) preferred
BENEFITS
  • Flexible and generous paid time off
  • Competitive medical, dental, vision and life insurance
  • 401(k) employer matching program
  • Parental leave
  • Wellness resources
  • Charitable matching program
  • On-site workout facilities (Leawood, Gilbert, Burlington)
  • Community outreach groups
  • Tuition reimbursement
Fostering A Sense of Belonging

Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.

Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.

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