Research Statistician; Scientist

What You Will Do

Be part of an outstanding team of Ph.D. statisticians that is consistently recognized for award-winning research and high‑impact contributions here in the Statistics Group at Los Alamos National Laboratory. As a statistician in our group, you will develop solutions to novel, meaningful, and complex interdisciplinary problems in partnership with world‑leading scientists across an array of domains. As an effective member of our group, you will bring extensive technical expertise, communication, and problem‑solving skills to our collaborative environment, partnering with domain experts in areas that span materials science, environmental modeling, cosmology, epidemiology, cyber security, image analysis, and complex engineered systems, including the nuclear stockpile.

Simulation, high‑performance computing, and AI/ML play a growing role in many of these applications. You will leverage your proficiency in statistics and data science technical areas, with opportunities to draw upon and extend methods from spatial statistics, time series, machine learning, reliability, design of experiments, computer experiments, Bayesian methods, functional data analysis, stochastic processes, hierarchical models, uncertainty quantification, data fusion, graphical models, advanced regression techniques, and statistical computing, to develop and execute strategies that answer important questions, create valuable and actionable results, and contribute directly to advancing science and supporting the national security mission.

This position will be filled at either the Scientist 2 or Scientist 3 level, depending on the skills of the selected candidate. Additional job responsibilities (outlined below) will be assigned if the candidate is hired at the higher level.

$104,100 - $172,200

$125,200 - $211,300

A successful candidate will actively participate in collaborative projects and research activities in a broad cross section of statistics and scientific applications. Duties of this job include contributing to innovation in statistical methodology, advancing basic and applied science through rigorous statistical modeling, and participating in professional activities, including peer‑reviewed publications, presentations, and service to the statistics community.

In addition to what was outlined at the lower level, at this level a successful candidate will take a larger role in project development, leadership, and mentoring.

• Technical Expertise:
  Expert knowledge and proven experience in statistics and data science methods, including the theoretical and mathematical framework and an ability to apply principles and techniques for application‑driven problem‑solving.
• Novel Methodology Development:
  Demonstrated ability to conduct statistical research, contributing to advancements in the field of statistics that are motivated by real‑world applications.
• Collaboration:
  
  Demonstrated ability to thrive in a collaborative environment, displaying strong interpersonal skills and facility to work cross‑functionally to answer complex questions in challenging domains.
• Communication:
  Effective written and oral communication skills with diverse collaborators and audiences.
• Computing:
  Strong statistical computing skills including experience using software for advanced statistical analysis (e.g., R, MATLAB, Python, Julia).

• Experience:
  
  On‑the‑job experience beyond Ph.D. and postdoctoral training.
• Leadership:
  Experience planning, directing, and executing technical projects, demonstrating leadership, independence, and accountability.
• Production: A substantial record of achievement through publications, presentations, or technical products.

Positions requires a Bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post‑doctoral research experience at a university or national lab or equivalent experience directly related to the occupation.

Position requires a Master's degree in a STEM field from an…