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Principal Research Associate - AI in Education (Hybrid)

MSCCN - Austin, TX

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Job Description

29121BR Job Title: Principal Research Associate - AI in Education (Hybrid) Location: TX - Austin Job Description: Westat is a leader in research, data collection and analysis, technical assistance, evaluation, and communications. Our evidence-based findings help clients in government and the private sector accelerate advancements in health, education, transportation, and social and economic policy. Our dedication to improving lives through research and our approach to projects grounded in investigative curiosity, statistical and data rigor, adaptive methods, and advanced technology are why clients find exceptional value in our work. Westat is seeking a Principal Research Associate to join our Education Studies Practice supporting our Comprehensive Center teams. As a Principal Research Associate in Education Studies, you will lead capacity building activities to support educators and education agencies achieve their goals for effectively integrating artificial intelligence (AI) into policy and practice. As a leader and subject matter expert, you will engage with program directors, key members of project teams, and clients, to conceptualize initiatives, translate ideas into plans, and lead or oversee implementation. You will also have the opportunity to lead and/or participate substantively in research/evaluation projects and business development. We value curiosity, innovation, and system-level thinking to contribute to projects that drive improved outcomes for our clients and ourselves internally. This role offers a hybrid schedule, with 1u20132 days a week onsite at one of our Westat offices in Bethesda, MD; Durham, NC; or Austin, TX. Job Responsibilities u2022 Lead strategic, multi-level technical assistance initiatives for educators, school and district leaders, and education agencies on the use of AI methods, tools, and platforms. u2022 Design and implement capacity building initiatives focused on the design and implementation of AI-enabled solutions for instructional support, data analysis, and operational efficiency. u2022 Oversee development and delivery of trainings, workshops, and guidance tailored to the needs of education practitioners. u2022 Collaborate with constituents to ensure AI applications align with educational goals, ethical standards, and principles related to access. u2022 Translate complex AI concepts into accessible language and actionable approaches for non-technical audiences. u2022 Lead initiatives related to emerging AI technologies and implications for education, national/state/local AI governance policies, lessons learned from implementation successes/failures, and other topics related to AI implementation in education. u2022 Serve as a thought leader by shaping national discourse and contributing to publications and presentations related to best practices and effective AI use in education settings. u2022 Lead and mentor project teams, foster collaboration, and develop staff capacity in technical assistance and leadership related to AI. Basic Qualifications u2022 BA/BS with 15 or more years of relevant experience, or an MA/MS with 8 or more years of relevant experience, or a PhD and 5 or more years of relevant postdoctoral experience. u2022 Demonstrated knowledge of/expertise in how AI methods (e.g., large language models, machine learning, predictive analytics, natural language processing) can be used to support decision-making or educational practice, with/including experience providing subject-matter expertise to such efforts. u2022 Strong understanding of data privacy, ethics, and other issues related to AI in education. u2022 Experience working with vendors or developers of AI tools for education. u2022 Experience working in or with school systems, including familiarity with classroom, district, or state-level operations. u2022 Experience providing technical assistance or professional development to educators or policymakers. u2022 Demonstrated communication and facilitation skills, especially with educator audiences. Preferred Qualifications u2022 Advanced degree (Masteru2019s or higher) in Computer Science, Data Science, Statistics, Information Systems, Education, Public Policy, Psychology, Sociology, or a related field. u2022 Familiarity with SEA policies and procedures. u2022 Familiarity with federal and state education initiatives related to technology and innovation. Westat offers a well-rounded and comprehensive benefits program focused on wellness and work/life balance. Subject to plan requirements, employees may participate in: + Employee Stock Ownership Plan + 401(k) Retirement Plan + Paid Parental Leave + Vacation Leave (20 days per year) + Sick Leave (9 days per year) + Holiday Leave + Professional Development + Health Advocate + Employee Assistance Program + Travel Accident Insurance + Medical Insurance + Dental Insurance + Vision Insurance + Short Term Disability Insurance + Long Term Disability Insurance + Life and AD&D Insurance + Critical Illness Insurance + Supplemental Life Insurance + Flexible Spending Account + Health Savings Account Any offer of employment may be contingent upon receipt of acceptable results from a post-offer background screening, if required for the specific position, which may include, for example, identity verification, employment history, motor vehicle driving record history, and criminal or sexual offender records history. Any background screening results will be evaluated through an individualized assessment based on the individualu2019s specific record and the duties and requirements of the position. This opportunity will be posted for a minimum of 5 days and applications will be accepted on an ongoing basis. Westat is an Equal Opportunity Employer and does not discriminate on the basis of race, creed, color, religion, sex, national origin, age, veteran status, disability, marital status, sexual orientation, citizenship status, genetic information, or any other protected status under applicable law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-WST1 #HYBRID Job ID: 29121BR Career Area: Research Pay Range: The anticipated salary range for this role is $120k-$170k and will be commensurate with experience. Bonus Eligibility: Yes

Created: 2025-12-12

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