gminingventures

gminingventures

Principal Resource Geologist

Brossard, Quebec, Quebec · Principal

Sponsorship not specified$43k-$101kDetected 20 days ago
PythonCode ReviewStakeholder ManagementPerformance ManagementGISLeadershipMentoringPublic SpeakingOrganizational SkillsGeotechnical Engineering

About the role

  • The Principal Resource Geologist position will be based at the GMIN corporate office in Brossard, Quebec, with flexible working arrangements depending on the candidate's home location.
  • The role requires approximately 40% travel to GMIN's subsidiaries in South America.

Responsibilities

  • Lead development and periodic refresh of deposit-scale geological interpretations and conceptual models
  • Define exploration and infill drilling strategies that optimize value creation (resource conversion, confidence uplift, discovery), in alignment with technical services and mine planning requirements.
  • Translate technical conclusions into clear recommendations for senior management, investors, and partners
  • Implement and maintain exploration technical systems and protocols (sampling, QA/QC, density, geotechnical/hydrogeological interfaces) consistent with industry best practices and applicable reporting codes.
  • Own the resource modelling and mineral resource estimation governance framework across projects/sites (standards, templates, peer review, documentation, and version control).
  • Translate technical conclusions into clear recommendations for senior management, investors, and partners; contribute to high-quality technical presentations and written materials.
  • Integrate geological, geo-metallurgical, density, structural, and production data to maintain fit-for-purpose models that support mine planning and technical studies.
  • Drive reconciliation and model performance reviews (short- and long-term); identify root causes and implement improvements to modelling, sampling, and QA/QC workflows.
  • Lead modelling and mineral resource workstreams for technical due diligence and corporate transactions; prepare defensible deliverables and respond to third-party technical queries.

Requirements

  • Proven ability to integrate multi-disciplinary datasets, including geology, structure, geo-metallurgy, geotechnical, hydrogeology, and mining, across study phases through to operations.
  • Strong leadership, coaching, and stakeholder management experience, with the ability to communicate effectively with both technical and non-technical audiences.
  • Strong understanding of QA/QC programs, sampling theory, drilling practices, density, and data integrity requirements that support robust resource estimates.
  • Advanced proficiency with Leapfrog (Geo/Edge), geostatistical tools such as Supervisor (or equivalent), GIS
  • experience with scripting languages such as Python or R is an asset.
  • Highly analytical with a continuous improvement mindset, including the ability to identify issues through reconciliation, audits, and data-driven reviews.
  • Knowledge of a language other than French is required for this position as GMIN's sites are international and the incumbent will be required to communicate with them on a regular basis.

Nice to have

  • MSc and/or relevant postgraduate specialization preferred.
  • 10 to 15 years of progressive experience in resource geology, 3D geological modelling, and mineral resource estimation, with gold experience strongly preferred.
  • Site experience is an asset.
  • BSc in Geology, Geological Engineering, Mining Engineering, or a related field

Skills

  • Geological Modelling
  • Resource Estimation

Compensation

  • Contribute to multi-year exploration plans and annual budgets

Company info

  • challenge assumptions and quantify key uncertainties to guide targeting and resource growth.
  • Lead development and periodic refresh of deposit-scale geological interpretations and conceptual models; challenge assumptions and quantify key uncertainties to guide targeting and resource growth.

This listing is sourced directly from gminingventures's careers page and normalized into a canonical job model.