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Remote Quantitative Psychology Jobs (NOW HIRING)

Psychometrician (Remote)

Seattle, WA · Remote

$90K - $120K/yr

D. in Psychometrics, Educational Measurement, Quantitative Psychology, Statistics, or a related field * Strong foundation in CTT, IRT, and test validity/reliability frameworks * Proficiency with ...

Psychometrician

Durham, NC · Remote

$80K - $95K/yr

You Have: * Ph.D. in Psychometrics, I/O psychology, Quantitative Psychology, Educational ... Learn more about The Association on LinkedIn and our Career Site. #LI-Remote #GreatPlacetoWork We ...

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Remote Quantitative Psychology information

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$31K

$90.6K

$146K

How much do remote quantitative psychology jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote quantitative psychology in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

How do remote quantitative psychologists typically collaborate with cross-functional research teams?

Remote quantitative psychologists often work closely with researchers, data scientists, and subject-matter experts through virtual meetings and collaborative platforms. They contribute by designing studies, analyzing complex data, and interpreting statistical findings to inform research decisions. Effective communication and regular check-ins help bridge the distance, ensuring that all team members are aligned on project goals and methodologies. While remote work offers flexibility, it also requires proactive engagement to maintain strong collaborative relationships.

What are the key skills and qualifications needed to thrive as a Remote Quantitative Psychologist, and why are they important?

To thrive as a Remote Quantitative Psychologist, you need a strong background in psychological research methods, advanced statistical analysis, and a relevant graduate degree (often a PhD or Master's in quantitative psychology or a related field). Expertise with statistical software such as R, SPSS, or Python, as well as familiarity with data management systems, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly are standout soft skills for this role. These competencies are crucial for designing robust studies, analyzing data remotely, and effectively translating insights to support evidence-based decision-making.

What is a remote quantitative psychologist?

A remote quantitative psychologist is a professional who applies statistical methods, mathematical modeling, and data analysis techniques to psychological research, all while working from a location outside of a traditional office—often from home. They design and analyze psychological studies, develop measurement tools, and interpret complex data to inform theory and practice. This role often involves collaborating with research teams, universities, or companies virtually, using specialized software to conduct surveys, experiments, or meta-analyses. Remote quantitative psychologists are critical in ensuring that psychological research is rigorous and evidence-based.

What is the difference between Remote Quantitative Psychology vs Remote Data Scientist?

AspectRemote Quantitative PsychologyRemote Data Scientist
Required CredentialsAdvanced degrees in psychology, statistics, or related fields; research experienceDegree in computer science, statistics, or related fields; programming skills
Work EnvironmentAcademic, research institutions, healthcare, or industry research teamsTech companies, finance, healthcare, or consulting firms
Employer & Industry UsageUniversities, research labs, healthcare organizationsTech firms, startups, corporations across industries
Common Search & ComparisonYesYes

Remote Quantitative Psychology focuses on applying statistical and psychological methods to research and data analysis within psychology and healthcare settings. Remote Data Scientists analyze large datasets using programming and machine learning across various industries. While both roles involve data analysis, Quantitative Psychologists emphasize psychological theories and research design, whereas Data Scientists have broader applications in technology and business sectors.

More about Remote Quantitative Psychology jobs
What cities are hiring for Remote Quantitative Psychology jobs? Cities with the most Remote Quantitative Psychology job openings:
What are the most commonly searched types of Quantitative Psychology jobs? The most popular types of Quantitative Psychology jobs are:
What states have the most Remote Quantitative Psychology jobs? States with the most job openings for Remote Quantitative Psychology jobs include:
Infographic showing various Remote Quantitative Psychology job openings in the United States as of July 2026, with employment types broken down into 4% As Needed, 79% Full Time, 9% Part Time, 2% Temporary, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Psychometrician (Remote)

Psychometrician (Remote)

Artemis Connection

Seattle, WA • Remote

$90K - $120K/yr

Full-time

Posted 8 days ago


Job description

Artemis Connection is a strategic management consultancy working across the for-profit, public and social sectors. We help clients around the world identify their most pressing strategic issues and we staff teams of strategy consultants to roll up their sleeves and deliver impact. We are passionate about helping innovative and entrepreneurial leaders reach their goals through a customized project-based approach, typically focused around:

  • Bespoke Innovation, Sales, and Marketing Strategy
  • Purpose-driven Transformation
  • Embedded Strategy and Operations roles

Our founder is Christy Johnson, an entrepreneur, educator, and former McKinsey Engagement Manager. Our advisors include HR officers, executive coaches, academics, entrepreneurs, and neuroscientists. Our team is made up of seasoned consultants, trained at organizations such as McKinsey & Company, Boston Consulting Group (BCG), Bain, Big 4 Strategy, and elite educational institutions.
To learn more about Artemis Connection, visit http://artemisconnection.com/.

About the Role

Our client, an education company, is seeking a detail-oriented Psychometrician to lead the design, validation, and analysis of the assessments underpinning its academic programs. This engagement is directly tied to the organization's upcoming re-accreditation review: the Psychometrician will ensure that assessment practices, evidence, and documentation meet accrediting body standards, while also strengthening the validity, reliability, and fairness of assessments for all test-takers.

Key Responsibilities
  • Design and develop test items, scales, and assessment instruments aligned with defined constructs and learning/behavioral objectives
  • Conduct item analysis, reliability testing, and validity studies (content, construct, criterion)
  • Apply Classical Test Theory (CTT) and/or Item Response Theory (IRT) models to evaluate and refine test items
  • Perform equating, standard setting, and scaling to ensure comparability across test forms and administrations
  • Conduct differential item functioning (DIF) analysis to identify and address potential bias across demographic groups
  • Partner with subject matter experts to build and review item banks
  • Analyze assessment data and produce technical reports summarizing psychometric properties, score interpretations, and recommendations
  • Ensure assessments comply with relevant professional standards (e.g., APA/AERA/NCME Standards for Educational and Psychological Testing) and legal/regulatory requirements
  • Compile and organize psychometric evidence, technical documentation, and validity/reliability reports needed to support the re-accreditation self-study and site visit
  • Serve as the assessment subject-matter expert in preparing responses to accreditor inquiries and addressing any prior findings or areas of concern
  • Support the design of pilot studies and field tests for new or revised instruments
  • Collaborate with academic leadership, product, research, and data teams to translate psychometric findings into actionable improvements
  • Stay current on advances in measurement theory, testing technology, and accreditation requirements in the education sector
Qualifications

Required:

  • Master's or Ph.D. in Psychometrics, Educational Measurement, Quantitative Psychology, Statistics, or a related field
  • Strong foundation in CTT, IRT, and test validity/reliability frameworks
  • Proficiency with statistical software (e.g., R, SPSS, SAS, Python) and psychometric-specific tools (e.g., BILOG, Winsteps, flexMIRT, jMetrik)
  • Experience analyzing large-scale assessment data sets
  • Excellent written communication skills for producing technical reports for both technical and non-technical audiences

Preferred:

  • Experience with computerized adaptive testing (CAT) or automated test assembly
  • Familiarity with fairness and bias detection methodologies (e.g., DIF, disparate impact analysis)
  • Background in credentialing, certification, educational, or workforce assessment contexts
  • Prior experience supporting an accreditation self-study, site visit, or accreditor response process
  • Experience presenting findings to stakeholders, academic leadership, or accreditation committees