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The Colorado School of Mines is seeking a Research Statistician to conduct statistical analysis on large geochemical datasets, focusing on causal inference and estimation. The ideal candidate will possess a Master's in Statistics and experience in advanced statistical methods, programming languages, and data analysis techniques relevant to mining and environmental studies.
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Job Summary
Colorado School of Mines is a top-ranked public university solving grand challenges related to the Earth, energy, and environment.
This position involves completing statistical analysis of large geochemical datasets and complex analysis for causal inference and estimation.
Mines offers a robust portfolio of benefits including flexible health and dental care, generous sick/vacation time, and a fully vested retirement plan on the first day of employment.
Matching Summary
Match Score: 75
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The Colorado School of Mines is seeking a Research Statistician to conduct statistical analysis on large geochemical datasets, focusing on causal inference and estimation. The ideal candidate will possess a Master's in Statistics and experience in advanced statistical methods, programming languages, and data analysis techniques relevant to mining and environmental studies.
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Salary
Hourly: $34.00 - $50.00 per hour; 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
generalized linear models
asymptotic theory for estimation
Nice-to-have
research experience in mine waste data
transformational opportunity
mission-driven workplace
diverse and inclusive community
Key Requirements
MS in Statistics
Previous research experience in byproduct and mine waste critical mineral data analysis
Ability to support estimation methods with asymptotic theory