Lead or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Education Systems and Policy initiatives.
Locations (6)
Arlington, Virginia, United States
Chapel Hill, North Carolina, United States
Chicago, Illinois, United States
Sacramento, California, United States
Austin, Texas, United States
United States
Compensation
$114,000—$140,000 USD
Responsibilities
Lead or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Education Systems and Policy initiatives.
Apply appropriate quantitative methods to collect, manage, analyze, and interpret data, including leading inferential analyses for both causal and non‑causal research questions.
Develop, maintain, and document reproducible and collaborative analytic workflows, including data management processes and quality control procedures.
Review, quality‑check, and strengthen analytic code and outputs produced by junior staff; provide guidance and mentorship to promote best practices in analysis and documentation.
Translate complex analytic findings into clear, actionable insights for client reports, technical memos, presentations, and briefings.
Requirements
Master's or doctoral degree in statistics, mathematics, computer science, computational social science, education data science, or a related discipline.
The Research Analyst supports clinical and patient-oriented research activities through data collection, laboratory procedures, analysis, documentation, and knowledge translation within interdisciplinary research teams.
Compensation
Salary Range: $27.95 – $37.28 per hour
Responsibilities
Support the implementation of research activities
Work collaboratively with scientists, clinicians, research staff, internal and external stakeholders
Transfer, management, and quality control of various data types (eg. clinical, demographic, biomarker, and imaging) in a secure high-performance computing environment
Implementation, use, and troubleshooting of data analysis pipelines for decisions in clinical trials
Prepare datasets for analysis, presentations, and publications
Requirements
Bachelor’s degree in a relevant field (e.g., Computer Science, Informatics Technology, Bioinformatics, Statistics, Neuroscience)
A senior hands-on applied science and engineering role focused on shaping the next generation of deep learning systems for personalization, including recommendation, ranking, retrieval, traveler understanding, sequential modeling, and foundation-model-based personalization.
Locations (2)
San Jose, California, United States
Seattle, Washington, United States
Compensation
The total cash range for this position in San Jose is $187,000.00 to $261,500.00. Employees in this role have the potential to increase their pay up to $299,000.00, which is the top of the range, based on ongoing, demonstrated and sustained sustained performance. The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated and sustained performance.
Responsibilities
Design, develop, and apply machine learning solutions to real-world personalization, product, and business problems
Drive end-to-end scientific work across problem formulation, data exploration, feature engineering, model development, evaluation, and iteration
Partner closely with engineers, product, and business stakeholders to integrate machine learning solutions into services and workflows
