Research Statistician

Colorado School of Mines

Golden, Colorado, US
Base: $34.00 - $50.00 ph; bonus/equity: not specif...
Hourly, onsite
Non-parametric and bayesian statistics
Large geochemical data analysis
Supervised learning techniques
The Colorado School of Mines is seeking a Research Statistician to perform statistical analyses on large geochemical datasets, focusing on causal inference and estimation. The ideal candidate will have extensive experience with various statistical methodologies and programming languages, as well as a master's degree in Statistics

Job Summary

  • Colorado School of Mines is a top-ranked public university solving grand challenges related to Earth, energy, and the environment.
  • Mines graduates are change makers, boundary breakers, and problem solvers, with a transformational educational opportunity.
  • Mines offers a robust portfolio of benefits including flexible health and dental care, generous sick/vacation time, and a fully vested retirement plan.

Matching Summary

Match Score: 85

The Colorado School of Mines is seeking a Research Statistician to perform statistical analyses on large geochemical datasets, focusing on causal inference and estimation. The ideal candidate will have extensive experience with various statistical methodologies and programming languages, as well as a master's degree in Statistics.

Salary

Base: $34.00 - $50.00 per hour; Bonus/Equity: Not specified; Benefits: Flexible health and dental care, generous sick/vacation time, 11% employee contribution to Defined Contribution Plan, 12% employer contribution to Defined Contribution Plan, tuition benefits, free RTD Ecopass, discount programs, free tickets for Mines Athletics home games, access to Recreation Center and Outdoor Rec Center, on-campus daycare center

Skills & Requirements

Must-have

  • non-parametric and Bayesian statistics
  • large geochemical data analysis
  • supervised learning techniques
  • SQL and LLMs
  • creation of Shiny apps
  • high proficiency in R, Python and C++
  • GitHub repository and code documentation
  • likelihood estimation and generalized linear models
  • support estimation methods with asymptotic theory

Nice-to-have

  • research experience in critical mineral data
  • transformational opportunity for STEM students
  • mission-driven workplace
  • diverse and inclusive community

Key Requirements

  • MS in Statistics
  • Previous research experience in byproduct and mine waste critical mineral data analysis

Work Rights

Not specified

Tailored Resume

Cover Letter