Outcomes Data Scientist

Description The Outcomes Data Scientist transforms complex data into clear evidence that demonstrates the effectiveness, equity, and value of speech-language pathology and audiology services. Collaborating with ASHA’s National Center for Evidence-Based Practice, the role involves developing and testing outcome measures, building risk-adjusted models, and producing policy-ready analyses to guide clinical standards and advocacy. Additionally, the Outcomes Data Scientist partners across ASHA clusters to provide timely, data-driven insights that enhance decision-making in health and education settings. Responsibilities Conduct psychometric testing to evaluate the validity, reliability, and applicability of outcome measures across diverse populations. Perform statistical analyses and consult with N-CEP staff to develop data-driven resources such as factsheets, reports, systematic reviews, and practice guidelines. Develop and apply statistical models (e.g., risk adjustment) to enable meaningful comparisons of quality measures across various groups. Identify, integrate, and analyze large external datasets (e.g., Medicare, Medicaid, education records) with internal data to support research on effectiveness, equity, and cost-benefit of services. Collaborate with teams to understand data needs, provide ad hoc statistical support, and deliver insights. Communicate findings through reports, visualizations, and presentations tailored to diverse audiences including clinicians, researchers, and policymakers. Qualifications Knowledge Typically Acquired Through At least five years of experience in psychometrics and advanced statistical modeling, including developing outcome measures and integrating large datasets. Master’s degree in Statistics, Data Science, Psychometrics, Education Measurement, or related field. Skills Psychometrics — Proficiency in item analyses, Rasch analysis, reliability and validity studies, and experimental design. Statistical Modeling — Expertise in regression, ANOVA/ANCOVA, factor analysis, and mixed-effects models. Programming — Fluency in R, Python, SAS, SPSS, or equivalent, and IRT software. Data Management — Skills in handling large healthcare or education datasets and understanding federal codebooks. Communication — Ability to convey complex findings clearly to technical and non-technical audiences. Collaboration — Capable of working independently and within multidisciplinary teams. Project Management — Strong organizational and prioritization skills. Curiosity and Learning — Eagerness to question assumptions and explore problems from multiple angles. Structured Problem-Solving — Breaking down complex challenges and working with experts. Usability and Impact — Designing practical, actionable solutions. Big-Picture Thinking — Aligning work with team goals, ASHA’s mission, and profession needs.

#J-18808-Ljbffr