Remote Transportation Research & Data Analyst Fellow

Oak Ridge Institute for Science and Education; Washington (District of Columbia); Hybrid; USD 50,000 - 70,000; Full time

Benefits offered by this job

Travel allowance

Health insurance

Competitive stipend

Job summary

The Oak Ridge Institute for Science and Education seeks participants for research at the U.S. Department of Transportation in Washington, DC. Responsibilities include analyzing travel demand models, gathering passenger travel data, and developing white papers. A degree in relevant fields is required, preferably a master's. Candidates should have skills in data visualization, GIS, and programming. This appointment lasts for one year with potential extensions, offering a stipend, travel allowance, and health insurance.

Qualifications

• Degree must have been conferred within 60 months of the appointment start date.
• Familiarity with climate change mitigation and adaptation policy.
• Ability to present results in a clear, effective manner.

Responsibilities

• Analyze travel demand models and compile data.
• Gather and assess passenger travel data.
• Develop insights and write white papers.

Skills

Familiarity with data visualization software (e.g., Tableau, Socrata)

Familiarity with GIS and spatial mapping

Familiarity with R or Python

Familiarity with linking various transportation datasets

Familiarity with travel demand modeling/forecasting

Strong written and verbal communication skills

Self-starter with ability to learn under limited guidance

Knowledge of U.S. transportation systems

Education

Associate’s, Bachelor’s, Master’s, or Doctoral degree in relevant field received within 60 months

Master’s degree preferred

Job description

The Oak Ridge Institute for Science and Education seeks participants for research at the U.S. Department of Transportation in Washington, DC. Responsibilities include analyzing travel demand models, gathering passenger travel data, and developing white papers. A degree in relevant fields is required, preferably a master's. Candidates should have skills in data visualization, GIS, and programming. This appointment lasts for one year with potential extensions, offering a stipend, travel allowance, and health insurance.