Remote Quantitative Research Scientist - Education Data

Stryker Corporation; Austin (TX); On-site; Confidential; Full time

Benefits offered by this job

Performance bonuses

Vacation and personal leave

401(k) retirement matching

Health & life insurance

Job summary

Gibson Consulting Group, Inc. in Austin, Texas, is seeking a Quantitative Research Scientist to conduct education research and evaluate programs for school districts, states, and public agencies. The role will support the quantitative work within our research and evaluation portfolio.

The responsibilities include managing large datasets, writing reproducible code, applying econometric methods, and communicating results through reports and dashboards. A Ph.D.

Qualifications

• Advanced Stata programming skills; experience with Python a plus.
• Experience managing and cleaning large, complex datasets; sample scripts required.
• Experience with statistical and econometric methods used in social science research.
• Familiarity with sound research design.

Responsibilities

• Manage, clean, and analyze large-scale educational datasets with reproducible scripts.
• Write efficient code for data preparation, analysis, and reporting.
• Assemble panel data, perform quality checks, and fit statistical models.
• Communicate results via reports, presentations, dashboards, and scorecards.
• Design evaluation frameworks to measure program impact on outcomes.
• Provide statistical consulting to clients on data usage.
• Support multi-site data collection and documentation of coding decisions.
• Develop research protocols including surveys and focus group guides.

Skills

Stata

Python

Education

Ph.D. in social science fields

Tools

LaTeX

HTML

Shiny

Dash

Job description

Gibson Consulting Group, Inc. in Austin, Texas, is seeking a Quantitative Research Scientist to conduct education research and evaluate programs for school districts, states, and public agencies. The role will support the quantitative work within our research and evaluation portfolio.

The responsibilities include managing large datasets, writing reproducible code, applying econometric methods, and communicating results through reports and dashboards. A Ph.D.