Wildlife & Environmental Lead - T&D Infrastructure

Electric Power Research Institute, Inc.; Charlotte (NC); Hybrid; USD 130,000 - 145,000; Full time

Benefits offered by this job

Annual incentive program

Medical benefits

401k plan

Job summary

Electric Power Research Institute, Inc. seeks an environmental scientist with expertise in wildlife management, avian protection plans, and regulatory compliance to support T&D environmental projects in the United States.

The role involves remote sensing, data analysis, and GIS work, with emphasis on reliability and environmental stewardship. The candidate should have strong communication skills, experience with machine learning, and familiarity with electric utility operations.

Qualifications

• Bachelor’s degree in Environmental Sciences, Avian Biology, or technical field or equivalent experience required.
• Graduate degree preferred (master or PhD).
• 10+ years of relevant engineering or research experience.
• Electric utility experience is a plus.

Responsibilities

• Works independently on technical activities with little supervision.
• Maintains familiarity with progress and problems in assigned technical areas.
• May provide oversight of a project team to ensure milestones are met.

Skills

Wildlife management

Avian protection plans

Migratory Bird Treaty Act compliance

UAS/drone remote sensing

Data analysis

Machine learning

Programming (R, Python)

GIS tools

Communication skills

Electric utility experience (a plus)

Education

Bachelor's Degree in Environmental Sciences

Graduate degree (MS/PhD) preferred

Tools

ESRI GIS

Remote sensing tools

R

Python

Job description

Electric Power Research Institute, Inc. seeks an environmental scientist with expertise in wildlife management, avian protection plans, and regulatory compliance to support T&D environmental projects in the United States.

The role involves remote sensing, data analysis, and GIS work, with emphasis on reliability and environmental stewardship. The candidate should have strong communication skills, experience with machine learning, and familiarity with electric utility operations.