Assistant Research Scientist

23 hours ago

College Station, Texas, United States Texas A&M University System Full time

Job Title

Assistant Research Scientist

Agency

Texas A&M Agrilife Research

Department

Agricultural Economics

Proposed Minimum Salary

$25.00 hourly

Job Location

College Station, Texas

Job Type

Staff

Job Description

About the role

We're seeking a highly organized, quantitatively strong part-time professional to lead project management, data collection, and data analysis across research and outreach projects in agricultural economics. The ideal candidate blends economic training with hands-on project coordination and modern data skills.

Key responsibilities

  • Data collection & curation: Design and implement data collection strategies (surveys, administrative datasets, remote sensing/third-party APIs); manage IRB and data-use agreements; clean, validate, document, and version datasets.

  • Data analysis & modeling: Conduct descriptive and econometric analyses; develop reproducible code and pipelines; build dashboards/visualizations; contribute to technical reports, manuscripts, and policy briefs.

  • Quality & compliance: Ensure documentation, reproducibility, and code review standards; maintain data security and stewardship best practices.

  • Project management: Build and maintain workplans, timelines, and budgets; coordinate multi-partner teams; track deliverables; run standing meetings; prepare progress reports for sponsors.

  • Stakeholder engagement: Coordinate with producers, agencies, and industry partners; translate results into clear, actionable insights.

  • Other duties as required.

Required Education and Experience:

  • Ph.D. in Agricultural Economics (or very closely related field).

Preferred Experience:

  • Experience managing sponsored research projects or multi-institution collaborations.

  • Background with one or more of: farm policy & risk management, climate & weather data, geospatial/GIS, TEA/LCA, optimization, or market modeling.

Required Knowledge, Skills and Abilities:

  • Strong written and verbal communication skills

  • Ability to manage multiple deadlines.

  • Ability to multitask and work cooperatively with others.

Preferred qualifications

  • Training in econometrics and quantitative methods in agriculture/food systems.

  • Proficiency in R and/or Python (data wrangling, modeling, visualization).

  • Familiarity with survey design/analysis, experimental or quasi-experimental methods.

  • Experience with SQL, Git/GitHub, and reproducible workflows.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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