Department of Statistics

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Mathematical Statistician
National Institute of Standards and Technology

Company Information: The National Institute of Standards and Technology (NIST), founded in 1901, is one of the nation’s oldest physical science laboratories. Now part of the Department of Commerce, NIST serves as the National Metrology Institute for the United States, working with other NMIs around the globe to maintain and assure the accuracy of the International System of Units (SI). NIST also engages in a wide range of technological research to help enhance the competitiveness of U.S. industry. NIST has a permanent staff of about 3500 with academic-like campuses in Boulder, CO and Gaithersburg, MD. The NIST Statistical Engineering Division (SED) currently has a staff of 21 statisticians plus faculty appointees and guest researchers from around the world. SED has offices in both Gaithersburg and Boulder.

Position Title: Mathematical Statistician

Duties and Responsibilities: Candidates would be required to conduct applied research in metrology, the science of measurement. Job duties would include collaboration with scientists and engineers from NIST, U.S. industry, and other National Metrology Institutes (NMIs) on the design and analysis of experiments to maintain and improve existing measurement methods or develop new methods via contributions to the scientific literature, teaching, or software development. Research areas include: chemical and biological measurements, fire research, forensic science, basic and applied physics, materials science, manufacturing, environmental measurements, networks and communications, electronics and electrical engineering, civil engineering, and nanotechnology. Statistical areas of interest include: experiment design, linear models, Bayesian analysis, machine learning, time series, probabilistic modeling, robust statistical methods, and nonparametric or computer-intensive methods.

Position Qualifications:

Ph.D. in statistics or closely related discipline
U.S. citizenship
Strong verbal and written communication skills
Experience formulating relevant statistical questions from general application descriptions or requirements
Proactive ability to identify or develop statistical solutions to meet scientific challenges
Experience working in one or more statistical computing environments or computer languages
Ability to collaborate effectively within a wide variety of scientific teams

Salary Range:



Application Information: Contact Dr. Michael Frey at 303.497.5690 for further information, or e-mail your CV and letter of interest to Michael Frey at

Contact Email:

Application Deadline: