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Pacific Northwest National Laboratory Post Masters RA - Machine Learning in RICHLAND, Washington

Organization and Job ID

Job ID: 309210

Directorate: National Security

Division: Computing & Analytics

Group: Applied Stats & Mathematics

Job Description

The Applied Statistics and Computational Modeling group is seeking an applied statistician to engage in project work that uses statistical analyses to solve complex applied problems across various domain spaces, such as homeland security, energy, cybersecurity and biology. Also of interest is a focus on advanced and emerging algorithmic and coding methodologies for large-scale analysis that can be applied to various other government agency challenges.

Minimum Qualifications

Candidates must have received a Master’s degree within the past 24 months or within the next 8 months from an accredited college or university. Minimum overall GPA of 3.0 required.

Preferred Qualifications

Applicant must be able to demonstrate expertise in the field of statistics and in statistical programming. Applicant must have completed courses in probability theory, experimental design and multivariate analysis. Applicant must have course work in statistical programming or a demonstrated capability with a core statistical programming language, such as R or SAS.

Equal Employment Opportunity

Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.

Directorate: National Security Dir

Job Category: Post-Graduates and Post-Docs

Group: Appld Stats & Computa Modeling

Opening Date: 2019-04-11

Closing Date: 2019-05-11

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