Research Scientist, PREP

The mission of the School of Engineering and Applied Science ( SEAS) of The George Washington University is to serve the global community by: providing high quality undergraduate, graduate and professional educational opportunities and stimulating and promoting innovative fundamental and applied research activities.

This position is part of the National Institute of Standards ( NIST) Professional Research Experience ( PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

Working with NIST scientists, engineers, statisticians, and other technical staff to understand and precisely define relevant research questions for applications of interest
* Designing experiments using principles of statistical experiment design, as needed, to answer relevant scientific research questions formulated with collaborators
* Preparing data for analysis, as needed, with an emphasis on reproducible data preprocessing pipelines for data sets requiring a significant level of preparation
* Analyzing data using both graphical methods and via statistical modeling fitting and inference using software tools and methods that support research reproducibility
* Developing software tools for analysis of data by other researchers either for specific projects or for specific computational methods (e.g., Shiny apps, R packages, etc.), as needed
* Presenting results at internal meetings and potentially to external stakeholders
* Ensuring that research results, protocols, software and documentation, or other work outputs have been shared with relevant NIST staff members or appropriately archived for future NIST use. Performs other related duties as assigned.
The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position.

An MS or PhD in Statistics or a related field with a focus on modeling and inference
* Three to five years of relevant work experience * Experience in exploratory data analysis and preprocessing data for analysis
* Experience using or developing software for statistical modeling and inference
* Ability to work both independently and in collaborative teams to solve problems
* Skill in communicating complex statistical concepts to non-statisticians

Employer will not sponsor for employment Visa status

The university is an Equal Employment Opportunity employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.