Job Details

Description

I. Purpose

The Outcomes Data Scientist turns complex data into clear evidence that shows whether speech-language pathology and audiology services are effective, equitable, and valuable. Partnering with ASHA’s National Center for Evidence-Based Practice, the role develops and tests outcome measures, builds risk-adjusted models, and produces policy-ready analyses that guide clinical standards and advocacy. The Outcomes Data Scientist also collaborates across ASHA clusters to supply timely, data-driven insights that improve decisions in both health and education settings.

II. Key Responsibilities

Conduct psychometric testing to evaluate the validity, reliability, and applicability of new and existing outcome measures across diverse populations.
Perform statistical analyses and provide related consultation to N-CEP staff to support the development of data-driven resources such as demonstration of value factsheets, outcomes reports, meta-analyses, evidence-based systematic reviews and practice guidelines.
Develop and apply statistical models and methodologies (e.g., risk adjustment) to facilitate meaningful comparisons of quality measures across populations, providers and facilities.
Identify, integrate, and analyze large-scale, external datasets (e.g., Medicare, Medicaid, claims data, education records) with internal registries to support clinical research on effectiveness, equity, and cost-benefit of services.
Collaborate with cross-functional teams to understand data needs, deliver ad hoc statistical consultation and provide data-driven insights.
Communicate complex findings through accessible reports, data visualizations, and presentations for diverse audiences, including clinicians, researchers, A economists, and other statistical consultants.

IV. Autonomy & Decision Making

Latitude is given the incumbent to determine the approaches, procedures, and methodologies used in achieving these goals.

Qualifications

V. Qualifications & Skills

Knowledge Typically Acquired Through

Five or more years of hands-on experience applying psychometrics and advanced statistical modeling—designing and validating outcome measures, building risk-adjusted models, and integrating large healthcare or education datasets to answer clinical or policy questions.
Master’s degree in Statistics, Data Science, Psychometrics, Education Measurement, or related field.

Skills

Psychometrics — Proficiency in classical and IRT item analyses, Rasch analysis, equating studies, reliability and validity studies, sampling plans, item calibration, scaling, and experimental design.
Statistical Modeling — Expertise with multiple regression, ANOVA/ANCOVA, factor analysis, and mixed-effects models.
Programming — Fluency in R, Python, SAS, SPSS, or equivalent, and IRT software.
Data Management — Ability to collect, integrate, and analyze large healthcare or education datasets and interpret federal codebooks.
Communication – Ability to explain complex issues and findings using clear, accessible language tailored to technical and nontechnical audiences.
Collaboration – Ability to work independently and as part of multidisciplinary teams.
Project Management – Strong organizational, prioritization, and time-management skills to effectively balance multiple projects.
Curiosity and Learning Mindset – Continuously questioning assumptions, stress-testing ideas, and exploring problems from multiple perspectives.
Structured Problem-Solving – Breaking down complex challenges into manageable parts, iterating thoughtfully, and working closely with subject matter experts.
Usability and Impact – Designing solutions that are practical, actionable, and aligned with real stakeholder needs.
Big-Picture Thinking – Maintaining awareness of how the work supports team goals, ASHA’s mission, and the broader needs of the professions served.

VI. Universal Expectations of ASHA Staff

At ASHA, we believe in working together to make well-informed decisions that will advance the association and the discipline of human communication sciences and disorders; teamwork is vital to achieving our mission, vision, and maximizing impact. As committed stewards of the organization, we care deeply about our professions, members, and staff, and build a strong and welcoming community. We strive to ensure that everyone's voice is heard and valued. We are dedicated to helping each other grow and innovate by encouraging open communication and continual learning. Our focus is on delivering excellent service and value to members, advancing equity, and promoting diversity, inclusion, and the power of science and research.

VII. Equal Employment Opportunity (EEO)

ASHA is an equal opportunity employer. As such, it is ASHA’s policy to provide equal opportunity to all qualified applicants and employees without regard for race, sex (including pregnancy and gender identity), national origin, religion, marital status, disability, veteran status, age, sexual orientation or LGBT status, genetic information, citizenship, or any other factor protected by applicable federal, state, or local laws and ASHA's Bylaws. This policy applies to recruiting, hiring, transfer, promotion, compensation and benefits, upward mobility, training and development, access to facilities, termination, and other personnel actions.

VIII. Disclaimer

This job description reflects the primary responsibilities of the job but is not a detailed description of all duties which may be required of someone in the position. All ASHA staff are expected to take on additional responsibilities from time to time and to help their colleagues.

The American Speech-Language-Hearing Association (ASHA) jobs

Outcomes Data Scientist

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