Economist

Argonne National Laboratory•Lemont, IL

21h

About The Position

The Decision and Infrastructure Sciences (DIS) Division is seeking a highly motivated Economist. The position will support DIS Division with economic resilience and security modeling and analysis, with a focus on impact analysis, workforce, supply chains, and manufacturing associated with emerging and advanced technologies and the defense industrial base. In this role you will: Contribute to research and analysis and model development to aid decision-making around topics related to economic resilience and security. Contribute technical and policy insights to decision makers in areas related to industrial resilience, manufacturing, supply chains, and related workforce considerations. Provide analysis to understand and inform stakeholders of the economic impacts of deploying various strategies to achieve national economic security goals. Provide research that builds on existing datasets, analysis, and computational models developed by the Argonne, DOE national laboratory collaborators, and federal sponsor teams. Contribute to the development and application of analytical approaches, compilation of results, report preparation, publications, and documentation that evaluate economic resilience and security and related workforce, supply chain, and manufacturing needs. Identify data sources and manage data resources as required for the development of complex system models. Develop new analytic tools and datasets. Prepare briefings and reports on analysis, methodology, and results. Collaborate with researchers from other DOE Nationals Laboratories and contribute to interdisciplinary teams. Receive a supportive and enabling environment to develop research projects, grow research collaborations, communicate impactful research outcomes in peer-reviewed journals, and support other related projects within the team’s portfolio. Strengthen career path opportunities by expanding technological skills, developing independent research capabilities, and building professional skills such as communication, networking and leadership. Position Requirements To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship and have the ability to obtain and maintain a security clearance, which is required to comply with federal regulations and contract. Must possess a strong technical background in economics, operations research, public policy, or another relevant field and a strong desire to apply that background to economic resilience, with a particular emphasis on defense industrial base, manufacturing, and workforce analysis. Knowledge of economic principles and aspects associated with evaluating industrial resilience. Must have a record of research in economic and/or supply chain analysis, criticality, computational modeling, scenario analysis, or policy analysis or strong, transferable industry experience. Skilled oral and written communication skills in economics. Experience with modern scientific programming languages (e.g., R, Python, Java) and/or ability to work with widely accepted statistical analysis software (e.g., Stata). Ability to integrate diverse knowledge, methods, and perspectives to drive analysis and innovation. Ability to support research projects, work independently, manage project deadlines and deliverable requirements, travel to meetings, and work effectively with members of multidisciplinary research teams. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This level of knowledge is typically achieved through a formal education in economics, mathematics, operations research, systems engineering, environmental science/engineering, or any relevant engineering and computational sciences field. This position can be hired at one of two levels; the selected candidate will be placed in the appropriate level (RD1 or RD2) depending upon depth and breadth of relevant knowledge, skills, and experience brought to the position. The requirements for the desired levels are as follows: RD1 Level: Bachelor’s or Master’s and 0+ years, or equivalent. The expected pay range for this position is $78,505 - $122,467. RD2 Level: Bachelor’s and 5+ years; Master’s and 3+ years; Doctorate and 0+ years, or equivalent. The expected pay range for this position is $94,486 - $147,399.

Requirements

To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship and have the ability to obtain and maintain a security clearance, which is required to comply with federal regulations and contract.
Must possess a strong technical background in economics, operations research, public policy, or another relevant field and a strong desire to apply that background to economic resilience, with a particular emphasis on defense industrial base, manufacturing, and workforce analysis.
Knowledge of economic principles and aspects associated with evaluating industrial resilience.
Must have a record of research in economic and/or supply chain analysis, criticality, computational modeling, scenario analysis, or policy analysis or strong, transferable industry experience.
Skilled oral and written communication skills in economics.
Experience with modern scientific programming languages (e.g., R, Python, Java) and/or ability to work with widely accepted statistical analysis software (e.g., Stata).
Ability to integrate diverse knowledge, methods, and perspectives to drive analysis and innovation.
Ability to support research projects, work independently, manage project deadlines and deliverable requirements, travel to meetings, and work effectively with members of multidisciplinary research teams.
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
This level of knowledge is typically achieved through a formal education in economics, mathematics, operations research, systems engineering, environmental science/engineering, or any relevant engineering and computational sciences field.
RD1 Level: Bachelor’s or Master’s and 0+ years, or equivalent.
RD2 Level: Bachelor’s and 5+ years; Master’s and 3+ years; Doctorate and 0+ years, or equivalent.

Nice To Haves

Experience with economic analysis techniques (econometrics, input-output models, optimization, cost modeling, computational modeling, etc.).
Skill in organizational and time management, with careful attention to detail and the ability to handle multiple stakeholders and priorities and experience working independently under time constraints to meet critical deadlines.
Ability to develop and synthesize visualizations to effectively communicate analysis results.
Some experience with optimization, operations research, or other computational modeling techniques, such as agent-based modeling, general equilibrium modeling, etc.

Responsibilities

Contribute to research and analysis and model development to aid decision-making around topics related to economic resilience and security.
Contribute technical and policy insights to decision makers in areas related to industrial resilience, manufacturing, supply chains, and related workforce considerations.
Provide analysis to understand and inform stakeholders of the economic impacts of deploying various strategies to achieve national economic security goals.
Provide research that builds on existing datasets, analysis, and computational models developed by the Argonne, DOE national laboratory collaborators, and federal sponsor teams.
Contribute to the development and application of analytical approaches, compilation of results, report preparation, publications, and documentation that evaluate economic resilience and security and related workforce, supply chain, and manufacturing needs.
Identify data sources and manage data resources as required for the development of complex system models.
Develop new analytic tools and datasets.
Prepare briefings and reports on analysis, methodology, and results.
Collaborate with researchers from other DOE Nationals Laboratories and contribute to interdisciplinary teams.
Receive a supportive and enabling environment to develop research projects, grow research collaborations, communicate impactful research outcomes in peer-reviewed journals, and support other related projects within the team’s portfolio.
Strengthen career path opportunities by expanding technological skills, developing independent research capabilities, and building professional skills such as communication, networking and leadership.