R&D Analyst — Grid Planning & Reliability

ISO New England, Inc; Hartford (CT); Híbrido; USD 100.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Robust benefits package

Hybrid work environment (3 days onsite

Relocation assistance

Descripción de la vacante

ISO New England, Inc. is seeking a motivated analyst/engineer to join Planning Services Development & Solutions, delivering rigorous quantitative analyses for capacity and energy adequacy planning.

You will lead modeling, scenario analysis, and market-design improvements, collaborating with internal teams and regional stakeholders to inform long-term grid planning. The role emphasizes probabilistic assessments, advanced modeling, and cross‑functional collaboration in a hybrid work setting, with

Formación

• MS or PhD in Engineering, Operations Research, Applied Mathematics, Statistics, or related field, plus 2+ years of relevant experience; or Bachelor’s degree in a related technical field plus 5+ years of relevant experience.
• 2+ years of experience in power system planning/research, including optimization, probabilistic resource and energy adequacy assessment, and/or production cost (economic dispatch) simulation.
• Strong quantitative and data analysis skills, including working with large, complex datasets to identify trends, drivers, and sensitivities.
• Knowledge of planning and operating criteria/standards and the reliability framework (ISO/RTO practices, NERC, NPCC).

Responsabilidades

• Assess future system needs, including locational and temporal reliability trends, and evaluate how different technologies contribute to capacity value, flexibility, and energy adequacy.
• Lead research on optimal future resource mix development using optimization and scenario analysis (multi‑objective reliability/cost/emissions/flexibility; technology portfolios under uncertainty; long‑term planning under deep decarbonization).
• Propose, analyze, and communicate market design improvements; run simulations/what‑if studies to quantify impacts; and lead stakeholder discussions to align modeling approaches with real‑world outcomes.
• Lead and/or provide technical direction for comprehensive assessments of resource capacity and energy adequacy (e.g., LOLE, EEU, risk metrics) for the New England power system.
• Develop and implement innovative modeling techniques to represent emerging supply- and demand-side resources (renewables, storage, DERs, demand response, electrification) in probabilistic reliability assessments.
• Enhance and modernize resource adequacy models, assumptions, and datasets to reflect changing system conditions, operating practices, and policy/regulatory drivers.
• Define enhancements and new functionality for reliability, resource, and demand models; partner with software vendors and internal teams to implement, validate, and document improvements.
• Benchmark and evaluate alternative analytical tools and methodologies (resource adequacy, capacity accreditation, production cost/economic dispatch) to strengthen planning and market studies.
• Provide project and technical leadership across internal teams, external stakeholders, and regional planning organizations; present findings in clear, decision‑ready formats for technical and non‑technical audiences.

Conocimientos

Power system planning

Optimization

Data analysis

Leadership

Communication

Educación

MS/PhD in Engineering or OR

Bachelor’s degree + 5+ years experience

Herramientas

Optimization software

Statistical tools (R/Python)

Descripción del empleo

ISO New England, Inc. is seeking a motivated analyst/engineer to join Planning Services Development & Solutions, delivering rigorous quantitative analyses for capacity and energy adequacy planning.

You will lead modeling, scenario analysis, and market-design improvements, collaborating with internal teams and regional stakeholders to inform long-term grid planning. The role emphasizes probabilistic assessments, advanced modeling, and cross‑functional collaboration in a hybrid work setting, with