Assists the research team with data collection, management, and analysis. Responsibilities include documenting incoming data, cleaning and preparing datasets for analysis, matching, sampling, and conducting randomization across multiple projects.
Contributes to building traditional statistical models and machine learning algorithms for a variety of research projects.
Prepares results for memos, spreadsheets, and presentations targeting both policymakers and academic audiences.
Assists with coordinating research activities, communicating with partner agencies, and managing project deliverables.
Aids in writing grant proposals, prepares human subjects protocols and amendments for IRB.
Conducts thorough and critical reviews of relevant literature.
Maintains technical and administrative support for a research project.
Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents.
Installs, sets up and performs experiments; interacting with students and other laboratory staff under the direction of the principal investigator.
Performs other related work as needed.
Bachelor's degree in economics, statistics, or other relevant social/mathematical science field.
Advanced degree in economics, statistics, or other relevant social/mathematical science field, or a related field.
Coursework in econometrics and/or mathematical statistics.
A minimum of one year of relevant research experience; experience gained in school applies.
Technical Skills or Knowledge:
Knowledge of STATA, SAS, R or other programming languages.
Working knowledge with large and complex datasets.
Background working on field experiments / randomized controlled trials.
Proficiency working with UNIX servers.
Strong interest in environmental policy.
Substantial background in applied statistics and modeling.
Effective written and verbal communication skills.
Manage multiple projects simultaneously and meet tight deadlines.
Excellent organizational skills and attention to detail.
Work both independently, in a self-directed manner, and as a team member.
Work discreetly with sensitive and confidential data.
Cover Letter (required)
Writing Sample (required)
Transcripts - unofficial are okay for now (required)
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Internal Number: JR10539
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