# Regional Research Economist, Economic Research

**Company**: Anthropic
**Location**: Tokyo, Japan
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Research
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

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## Description

As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions.

You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index.

Key responsibilities:

- Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region

- Advance research collaborations that answer country- or regional-specific economic impact questions

- Translate research insights into actionable recommendations for policy discussions

- Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including country- and regional-specific analysis

- Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region

- Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories under varying AI-adoption scenarios

- Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection

- Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

Minimum qualifications:

- PhD in Economics

- Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning

- Demonstrated experience working in, and relevant relationships across, the region

- Proficiency in Python, R, SQL, or similar tools for large-scale data analysis

- Demonstrated ability to lead complex research projects from conception to publication

- Demonstrated ability to communicate technical findings to diverse audiences

- Demonstrated ability to build relationships across academic, policy, and industry communities

## Skills

### Required
- Econometrics
- Machine Learning
- Python
- R
- SQL
- Data Analysis
- Economic Theory
- Causal Inference

### Nice to have
- Labor Market Analysis
- Occupational Change
- Task-Based Approaches
- Large-Scale Data Analysis
- Econometric Methods
- Large Language Models
- Policy-Relevant Economic Research
- Experimental and Quasi-Experimental Methods
- Macroeconomic Modeling
- Time Series Forecasting
- Agent-Based Modeling

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