Research Facilitator

Federal Reserve Board

. Engage with economists and research associates in the use of state-of-the-art computational systems, tools, and software .

Posted 10/9/2026full-timeUnited StatesMid-LevelSenior💰 $91,600 - $181,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in High Performance Computing, software optimization, and parallel computing techniques to support economic research. Proficient in programming languages and AI tools, with strong communication skills to facilitate collaboration and knowledge sharing among diverse research teams.

Highest-signal resume keywords

High Performance ComputingSoftware OptimizationProgramming Languages (Python, R, Matlab, C, Stata, SQL)AI Tools and Large Language ModelsVersion Control Systems (Git/GitLab)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

High Performance ComputingSoftware OptimizationProgramming Languages (Python, R, Matlab, C, Stata, SQL)Parallel ComputingCode Optimization TechniquesCommand Line ToolsLinux Operating SystemsVersion Control Systems (Git/GitLab)GPU-Accelerated Research ComputingStatistical Computing

Soft Skills

Strong Communication SkillsCollaborative Work EthicService-Oriented Mindset

Tools & Technologies

Cloud Computing Platforms (AWS, Azure, Google Cloud)Job Schedulers (Slurm)AI ToolsLarge Language Models

Industry Keywords

Economic ResearchResearch WorkflowsData Security and ConfidentialitySocial Sciences

Tech Stack

Tools & technologies

AWSAzureCloudLinuxPythonSQL

About the role

Key responsibilities & impact

Engage with economists and research associates in the use of state-of-the-art computational systems, tools, and software
Partner with researchers to co-create and co-learn relevant computing and data capabilities
Reduce barriers to utilizing High Performance Computing instruments for innovative and computationally complex economic research
Accelerate time-to-publication through software optimization, parallelization, and modern computational techniques
Provide direct support to economists and research associates through consultations
Build deep understanding of economic research activities and computational requirements
Co-author research papers under the guidance of economists
Facilitate design, debugging, and optimization of research workflows and software models alongside researchers
Implement software parallelization and performance improvements
Support adoption of cloud computing and AI tools, including large language models, in research workflows
Facilitate economist usage of on-prem and cloud HPC environments
Communicate regularly with research staff and technical professionals
Collaborate across teams on computational approaches and best practices
Develop and deliver curriculum on research computing tools and techniques
Provide one-on-one consultations and maintain documentation of local computing resources
Give presentations to research staff on latest tools and techniques

Requirements

What you’ll need

Bachelor's degree in a computational field (Computer Science, Computational Economics, Applied Mathematics, Data Science, or related field)
Minimum of 5 years' relevant post-secondary education OR relevant work experience including a combination of these two
Proficiency in multiple programming and scripting languages (Python, R, Matlab, C, Stata, SQL, or equivalent)
Knowledge of AI tools and practical experience utilizing large language models for research applications
Strong communication skills with ability to translate complex technical concepts for research audiences with varying levels of programming experience
Experience with command line tools and Linux operating systems
Demonstrated ability to work collaboratively with researchers from diverse backgrounds
Service-oriented mindset with commitment to supporting research excellence
Experience with version control systems (Git/GitLab)
Terminal proficiency and Linux system navigation
Master's degree in a computational field preferred
Experience with High Performance Computing environments and job schedulers (Slurm or equivalent) preferred
Background in economic research or working with economists preferred
Prior research experience in academic or policy research settings preferred
Experience with parallel computing and code optimization techniques preferred
Experience supporting GPU-accelerated research computing, including adapting existing workflows to leverage GPU resources preferred
Familiarity with research workflows in economics and social sciences preferred
Knowledge of statistical computing and econometric methods preferred
Experience with cloud computing platforms (AWS, Azure, Google Cloud) preferred
Understanding of data security and confidentiality requirements in economic research preferred
United States citizenship or lawful permanent resident alien status, with at least three (3) or more years of United States residency from the date of legal entry to the United States is required
Must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits

Comp & perks

On-site, full-time with 5 days per month remote work flexibility
Screening may include education/employment verification, criminal history, credit history, and reference checks
Equal employment opportunity and an environment where employees are valued for their differences