NIST PREP Data Infrastructure Engineer

The Statistical Engineering Division at the National Institute of Standards and Technology is seeking immediate applications for a post-bachelor’s position focusing on supporting the development of scientific computing applications and tools. The tools will include both public-facing web infrastructure and code bases used by bench scientists for data collection and analysis. A primary focus will be establishing a central, high-resolution data repository for international clock and frequency standard measurements, providing essential data and collaborative infrastructure for the upcoming redefinition of the second.

The candidate’s primary responsibilities may include:

• Supporting domain experts who generate requirements documents outlining software development needs
• Creation and deployment of a data repository to store, maintain, and share results of interlaboratory measurements and analyses.
• Performing the data curation and data engineering work to transform raw data into machine actionable datasets as guided by the FAIR data principles
• Managing and consolidating data streams originating from atomic clocks and the associated network components including, e.g., optical fiber links and optical frequency combs.
• Developing methodology for collating complex datasets involving multimodal data or heterogeneous processing pathways
• Extracting information from the curated data using statistical techniques and/or AI approaches

The ideal candidate will have the following skills, experience, and/or qualifications:

• Bachelor’s degree in at least one of the following fields: computer science, systems engineering, statistics, physics, or a closely-related discipline
• Cross-disciplinary collaboration.
• Experience in scientific computing, workflow development and data management.
• Applied machine learning / data science.
• Reproducible research and production/dissemination of archival datasets.
• Enthusiasm for learning about diverse measurement science techniques.
• Familiar with DevOps principles and container-based application development/deployment.

Keywords: Python, DevOps, Docker, Kubernetes, Linux, Bash, Amazon Web Services, JSON, XML, HTML, JavaScript, CSS

Privacy Act Statement
Authority:  15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose:  The National Institute for Standards and Technology (NIST) hosts the  Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor’s degree holders, graduate students, master’s degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses:  NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices:  NIST-1: NIST Associates.
Disclosure:  Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.

SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.

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