# Regional Research Economist, Economic Research

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

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5460524008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_519f31a2-69b

## Description

## Job Summary

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.

## 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 (GDP, productivity, unemployment) 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

## Requirements

- 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

## Preferred Qualifications

- Experience relevant to the study of AI's impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation

- Experience working with novel datasets and measurement systems

- Comfort learning new technical tools and frameworks

- Strong interest in ensuring AI development benefits humanity

- Comfort working with AI systems and ability to think critically about their capabilities and limitations

## Skills

### Required
- Python
- R
- SQL
- Econometrics
- Machine Learning

### Nice to have
- Labor Market Analysis
- Task-Based Approaches
- Large-Scale Data Analysis
- Econometric Methods
- Macroeconomic Modeling

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5460524008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)