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Senior CDR Analyst

CarbonRun
Dartmouth, CAN
Full-time
Hybrid
Discovered 1 months ago
Life Cycle Analysis (LCA)Geospatial analysisQuantitative modellingData analysisTechnoeconomic analysis (TEA)Cost forecasting and optimization

Full Job Posting

Location and arrangement

  • The role is based in Dartmouth, Nova Scotia; hybrid work is preferred.

About CarbonRun

CarbonRun develops river alkalinity enhancement projects intended to improve river health and deliver durable carbon dioxide removal.

The company works with communities, utilities, conservation groups, and governments, with active projects and a development pipeline across Canada and globally.

Role overview

The Senior CDR Analyst conducts life-cycle and geospatial analysis supporting project planning, optimization, research, and carbon dioxide removal quantification.

The role includes cost forecasting, cost optimization, scenario modelling, and communicating results through visualizations and data summaries.

The position supports project economic viability, quantitative accuracy, and environmental responsibility through process modelling, geospatial data, LCA, and TEA.

Responsibilities

  • Produce model projections to assess feasibility and operational decisions and support project development, R&D, and innovation.
  • Perform LCA calculations for planning and carbon removal quantification; ensure inputs are scientifically and technically realistic.
  • Provide model and data visualization support.
  • Analyze feedstock sources, river networks, monitoring sites, and land use, linking outputs to global GIS products for scaling.
  • Flag supply, operational, and cost risks; forecast capital expenditures and identify scenarios to achieve KPI goals.
  • Run the process model, validate project inputs, and flag misconfigurations before they affect TEA outputs.
  • Maintain tools that enable pre-validated LCA and TEA scenarios without altering scientific assumptions or model logic.
  • Escalate supply shortfalls, cost risks, material findings, and inconsistent assumptions.
  • Conduct independent analysis with the team and reflect uncertainty appropriately.

Qualifications

  • Graduate degree in science or engineering.
  • Strong analytical and problem-solving skills.
  • Data analysis experience, including geospatial data.
  • Quantitative modelling experience.
  • Hydrology, LCA, TEA, or scripting experience such as R or Python is valued, not required.

Compensation and benefits

  • Competitive compensation package; compensation cadence and amount are not stated.
  • Canadian group benefits include extended health and dental care, life insurance, long-term disability, accidental death and dismemberment coverage, and an employee assistance plan.
  • Employee stock options, paid time off, and vacation time are offered.

Application process

  • The application system uses AI tools to assist with screening and evaluation, with human oversight.

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