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Inside Higher Ed · 1 month ago

Junior Specialist/Assistant Specialist - Institute for Business & Social Impact

Berkeley, CA

Full-time

Onsite

Entry Level

$64K/yr - $71K/yr

1+ years exp

The Haas School of Business at the University of California, Berkeley is seeking highly motivated individuals for the position of Junior or Assistant Specialist. The role involves assisting in research related to economic development, labor, and health economics, utilizing advanced methods for causal inference and machine learning.

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No H1B

Responsibilities

Assist in designing and interpreting analyses using advanced econometric methods, including reduced form approaches (difference-in-differences, regression discontinuity, instrumental variables) and structural econometrics (method of moments, maximum likelihood, dynamic programming), with a focus on causal inference

Support the design and implementation of field experiments, survey development, and primary data collection activities; monitor data quality and coordinate with field teams to ensure research protocols are followed

Write efficient, well-documented code to manipulate large datasets and implement complex analyses; maintain data infrastructure using collaborative and replicable programming practices

Clean and validate data, identify and resolve technical issues with datasets or code, and maintain comprehensive documentation of all research procedures and analytical decisions

Prepare materials for research manuscripts, project reports, and presentations; generate publication-ready tables, graphs, and visualizations that effectively communicate findings

Work closely with faculty, research team members, and external collaborators to advance ongoing analyses, share methodological expertise, and contribute to the broader research agenda

Qualification

EconometricsMachine LearningData ManagementRPythonJavaData CollectionResearch CommunicationTeam Collaboration

Required

The minimum qualification to be enrolled in a Bachelor's Degree, or equivalent international degree program at time of application

A Bachelor's Degree, or equivalent international degree at the start of appointment

Preferred

A Bachelor's degree or in a quantitative field, including Computer Science, Mathematics, Economics or related and theoretical and practical application of a body of highly specialized knowledge in Economics. An advanced degree by start date is preferred

At least one year of experience as predoc. Scholars with strengths in applied micro-econometrics, field experiments, survey and applied data science (including machine learning and computational methods fare particularly encouraged

Advanced proficiency in the following coding languages: Proficiency in Coding Languages: R, Java, Python. Demonstrated experience with large and complex data sets

Demonstrated proficiency to work as part of a research team and/or previous experience working with data in a research context, including data collection

Statement of Research (Optional)