Senior AUM Geologist

The Senior Geologist leads geological evaluation, resource modeling, and technical reporting across DISA’s growing inventory of uranium sites, including abandoned mine waste (AUM) and active acquisition targets. This role is central to producing resource estimates that meet NI 43-101 or equivalent standards, managing geological data-collection workflows, and ensuring DISA’s resource base is accurately represented and technically supported. The Senior Geologist works closely with characterization, and commercial teams to guide site prioritization, oversee sampling and drilling plans, direct junior geologists, and prepare technical reports that withstand investor and regulatory scrutiny.

The successful candidate will thrive in a dynamic start-up environment, wearing multiple hats and contributing to many areas of business development.

• $105-$140K a year (paid bi-weekly)
• 401k Matching up to 4%
• Excellent Healthcare Benefits
• Work Schedule:
  
  M-T (7:30am - 5:30pm) and Fri (7:30am to 11:30am)

• Lead preparation of resource estimates for AUM sites using NI 43-101 or equivalent standards.
• Build and maintain geological models, grade shells, tonnage calculations, and uranium distribution analyses.
• Compile integrated technical reports including geology, sampling methods, QA/QC, resource estimation methodology, and risk factors.
• Manage all geological data inputs needed to support resource reporting, including assay results, drilling logs, and field measurements.
• Maintain structured documentation and audit trails that support external validation.
• Identify high-value geologic trends, formations, and structural controls that drive DISA’s uranium acquisition and staking strategies.
• Collaborate with leadership to prioritize sites based on geology, resource potential, and economic factors.
• Design and oversee site-specific sampling, drilling, and characterization programs.
• Interface with drilling contractors and ensure that sites are satisfactorily drilled.
• Enable drilling and characterization activities by ensuring sites are drill-accessible.
• Assist with Notice of Exploration and Notices of Intent by providing disturbance/road improvement estimates.
• Provide internal guidance on deposit type, mineralization characteristics, and expected uranium recovery behavior.
• Guide field teams on sampling best practices, logging, QA/QC protocols, and representative material collection.
• Direct the day-to-day activities of field team.
• Review and approve field geologic logs, cross-sections, and lithologic interpretations.
• Coordinate with operations on logistics to ensure sampling and drilling plans are executed effectively.
• Ensure consistent application of data standards and technical discipline across all characterization efforts.
• Support cross-functional discussions with engineering, NRC licensing, mineral processing, and commercial teams.
• Provide technical perspective on resource quality, uncertainty, and risk factors for internal strategy.
• Present geological interpretations and resource models in clear, structured formats for internal decision-making.
• Coordinate with GIS staff to integrate geologic datasets, interpretive maps, and 3D models.
• Abide by all policies and procedures established by DISA.
• Attend and participate in all required safety trainings.
• Assist with any task required by the direct supervisor.

• Bachelor’s degree in Geology, Geological Engineering, or Geoscience.
• 10+ years of professional geology experience, preferably with uranium or energy minerals.
• Demonstrated experience preparing resource models, and producing resource estimates compliant with NI 43-101, JORC, S-K 1300, or similar industry standards.
• Strong capability in geologic modeling software such as Leapfrog, Vulcan, Datamine, or equivalent.

• Proficiency with geologic modeling software and geological data workflows.
• Experience overseeing sampling programs, QA/QC protocols, and drilling campaigns.
• Strong technical writing skills and ability to prepare professional reports and documentation.
• Ability to synthesize large datasets into clear technical conclusions.
• Apply strong analytical and problem-solving…