Energy Sector & Climate Systems-Technical Analysis (Multiple Positions)
Energy Sector & Climate Systems-Technical Analysis | Multiple Positions
Position Type Full Time
Location Hybrid/Remote; preference for the Pittsburgh, PA / Morgantown, WV region or Albany, OR
Salary $65,000-$200,000 annually (early-career to experienced experts)
Division Energy Analysis
Clearance Some positions may require a current DOE Q clearance or ability to obtain one
Travel Required Less than 5% of the time
The energy sector is transforming—and the nation needs innovative, data-driven minds to secure an energy future that is affordable, reliable, and sustainable.
At KeyLogic, you will play a meaningful role in meeting these challenges. As the prime contractor supporting the National Energy Technology Laboratory (NETL) under the Strategic Analysis (SA) contract, KeyLogic evaluates the technical, economic, resource, environmental, policy, and market aspects of complex energy systems. Our multidisciplinary teams apply sound engineering principles, deep domain expertise, and analytical leadership to shed light on new energy concepts and technologies to inform decision-makers.
KeyLogic is seeking to expand its Energy Analysis team with multiple positions available across disciplines and levels of experience. We welcome applications from those with strong technical backgrounds, especially in engineering, science, economics, and statistics. A successful candidate might be an early-career chemical engineer (with a nascent interest in CO 2 capture), or an established luminary in environmental science with a lengthy publication record and Ph.D.
What You Will Do
The Energy Analysis team applies technical analytical tools to local, state, and national energy challenges in the domains of energy technology development, resource sustainability, and carbon management. The team supports NETL in five areas of analytical competency:
Energy market & infrastructure analysis
Environmental life cycle analysis (LCA)
Process & cost engineering research
Process systems engineering research
Resource & subsurface analysis
For example, a successful candidate may conduct a techno-economic analysis of combined-cycle natural gas turbine supply chains, or program an LCA model to better assess environmental effects of growth in solar thermal generation.
Mid-career hires may be tasked with contributing to program planning and management, external outreach and collaboration, and coordination of special projects. Experienced hires will function as "senior thought leaders," developing new and novel analytical methods while supervising and mentoring junior team members.
Key Responsibilities
Quickly learn and assess technologies, data, operations, markets, and policies related to specific energy systems
Oversee the development of complex quantitative models or scenarios related to the U.S. energy system and climate policies
Communicate findings in high-quality deliverables and public-facing presentations, reports, memos, research papers, articles, etc.
Keep current with industry trends, technological breakthroughs, and changes in policies and markets
What We're Looking For
Note: these positions are Hybrid/Remote. Our preference is for candidates near Pittsburgh, PA, or Morgantown, WV; remote work may be considered on a case-by-case basis.
Basic Qualifications
Bachelor's in engineering (chemical, mechanical, or environmental), science (geology, environmental), economics, statistics/data science, or equivalent
Proficiency in one or more: Python, R, MATLAB, Stata, SPSS, NEMS, C++, gPROMS, Aspen, AIMMS, Pyomo, openLCA, or similar
Experience and/or interest in decarbonization, renewable power, hydrogen, environmental or climate policy, carbon capture, grid and utility programs, transportation infrastructure, or other energy technology sectors
The ability to work independently, as well as in a structured team environment alongside federal and other technical services contractors
Ability to pass background checks and obtain security clearances as required by clients
Preferred Qualifications
Master's or Ph.D. in engineering, economics, statistics/data science, or equivalent
Expertise or mastery of economic theory models of energy markets, energy balances, energy sector demand-side economics; fiscal policy, greenhouse gas reporting protocols, or equivalent domains
Above all, KeyLogic values self-motivated and intellectually curious individuals who provide what we call anticipatory service—always staying one step ahead—to benefit our customers and build a better world.
What We Offer
KeyLogic offers a total rewards package, competitive market salaries, comprehensive insurance options, flexible leave policies, PTO, official holidays, 401(k) with employer match, and more!
About KeyLogic
Supporting critical missions at the intersection of data and science, KeyLogic provides mission management, systems analysis, data analytics, digital transformation, and cybersecurity to customers in the energy, federal civilian, and defense sectors, with a 20+ year portfolio of successes supporting DOE, DOC, EPA, DOD, DHS, FBI, and other federal agencies challenged with complex missions. We help our customers solve the world's most challenging problems with unsurpassed anticipatory service.
KeyLogic employs over 600 team members, including systems designers, developers, data scientists, IT and cybersecurity specialists, engineers, mission experts, program managers, and more than 70 Ph.D. scientists. This multidisciplinary team works together solving challenging problems with anticipatory service—always staying one step ahead—to benefit our customers, and ultimately helping build a better world.
KeyLogic is an Equal Opportunity/Equal Access Employer. KeyLogic is committed to a policy of non-discrimination against individuals on the basis of any legally protected status.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at Recruiting@KeyLogic.com and let us know the nature of your request and your contact information. Request for accommodation will be considered on a case-by-case basis.
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