Apply to 26-0051-002 | U.S. Quantitative Economist, Copper Jobs and Wages

U.S. Quantitative Economist, Copper Jobs and Wages

Axyde Analytics, LLC is recruiting proposed project personnel for a contingent U.S. Department of Labor initiative connecting stronger labor conditions and operating evidence in Chile’s copper supply chain with measurable benefits for American employment, wages and industrial resilience. This specialist is not presently designated as key personnel. The position is contingent upon award, final agreement and required due diligence.

Location and commitment

United States; remote, with periodic travel. Anticipated 36-month period and approximately 20–25 percent level of effort, concentrated around design, baseline, modeling, validation and reporting deliverables.

Responsibilities

Design and execute the project’s quantitative U.S.-benefit analysis. Build transparent input-output or equivalent employment-impact models; estimate direct, indirect and induced U.S. jobs and wages; define counterfactuals and attribution boundaries; conduct sensitivity and scenario analyses; document datasets, assumptions and limitations; maintain reproducible code; distinguish annual jobs from job-years and wages from labor income; prevent import leakage and double counting; and coordinate with the Chile-based MEL Officer so field evidence supports defensible U.S. benefit estimates. Identify required IMPLAN, BEA RIMS II or equivalent data and licensing; approved project-specific access may be funded after award.

Must-have qualifications

Graduate degree in economics, statistics, public policy or a closely related quantitative field.
Demonstrated hands-on use of IMPLAN, BEA RIMS II or an equivalent input-output or employment-impact framework.
Experience estimating direct, indirect and induced employment and wage effects.
Experience with counterfactual design, attribution and sensitivity analysis.
Ability to deliver reproducible analysis in Stata, R or Python.
Experience with U.S. industry, trade, manufacturing, mining or supply-chain datasets.
Legal authorization for the proposed U.S. place and form of work without Axyde sponsorship.
Availability for approximately 20–25 percent LOE.

Copper, critical-minerals or metals-sector experience is strongly preferred.

Compensation

Anticipated USD 55–120 per hour, subject to final scope, documented market reasonableness, negotiations and award approval. Required project-specific data or software licensing will be budgeted separately when approved. No employment or payment is promised before award and written agreement.

Application

Complete the role-specific FOA-ILAB-26-30 application below and provide a current résumé and nonproprietary work sample or methodology excerpt. Candidates selected for proposal use must promptly provide written authorization for Axyde to use their name and résumé specifically for this proposal; disclose current IMPLAN/RIMS/equivalent access and expected tool costs; confirm rate, availability, earliest post-award start, current commitments, employer approval if applicable, IP restrictions and conflicts; and supply requested materials within 24–48 hours. Proposal use creates no pre-award compensation, employment guarantee or post-award obligation absent a written agreement.

This application supports a contingent proposal to the U.S. Department of Labor. Answer every question accurately. Axyde may verify statements and request supporting evidence before naming any candidate. The position is contingent upon award, final role and rate agreement, and required due diligence.

I hold a graduate degree in economics, applied statistics or a directly related discipline. *

A graduate degree is required.

I have personally built an input-output or comparable employment-impact model using IMPLAN, RIMS II or another defensible named platform. *

Hands-on modeling experience is required.

I have estimated direct, indirect and induced employment and wage effects. *

Employment and wage-impact analysis is required.

I can design counterfactual, attribution and sensitivity tests for a foreign-supply intervention affecting U.S. industry. *

Required analytical capability.

I can deliver reproducible code and documented assumptions in Stata, R or Python. *

Reproducible analysis is required.

I am legally authorized for the proposed U.S. place and form of work without Axyde sponsorship. *

Required if the engagement is performed as U.S.-based employment.

I can commit 20–25 percent level of effort for up to 36 months, contingent on award. *

Availability is required.

Describe one qualifying employment and wage-impact model. *

In 150–300 words identify the platform, datasets, industry or supply-chain context, treatment of direct/indirect/induced effects, counterfactual and sensitivity methods, your personal role, and a reference or work sample.