Research Economist • Mid-Level

Who you are

You have a strong background in economics and are passionate about understanding the impact of AI on the global economy. Your expertise in econometrics allows you to develop new methodologies for measuring AI's usage and diffusion. You are skilled in machine learning techniques and can apply them to real-world economic data, ensuring that your analyses are both rigorous and insightful. You thrive in collaborative environments, working alongside researchers and engineers to drive impactful policy discussions and product decisions. Your experience with privacy-preserving tools and novel data sources sets you apart, as you understand the importance of ethical considerations in economic research. You are committed to building datasets that track AI's impact on labor markets and productivity, and you are excited about the potential of AI to transform the economy.

What you'll do

In this role, you will make fundamental contributions to the development and expansion of the Anthropic Economic Index, which includes producing quarterly reports and conducting industry-specific deep dives. You will design and implement methodologies that measure the impact of AI across various sectors, utilizing your econometric skills to analyze complex datasets. Your work will involve collaborating with a diverse team of researchers and engineers to ensure that the findings are actionable and relevant to policy discussions. You will also be responsible for communicating your findings to both technical and non-technical audiences, helping to shape the narrative around AI's role in the economy. As you work on these projects, you will have the opportunity to mentor junior researchers and contribute to the overall growth of the team.

What we offer

At Anthropic, we provide competitive compensation and benefits, including optional equity donation matching and generous vacation and parental leave. You will enjoy flexible working hours and a collaborative office environment in San Francisco, where you can engage with colleagues who share your commitment to building beneficial AI systems. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.