Postdoctoral Scholar - Mines NIST PREP Lead Data Infrastructure Engineer
Listed on 2026-06-01
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IT/Tech
Data Scientist, Data Engineer
Postdoctoral Scholar - Mines NIST PREP Lead Data Infrastructure Engineer
Colorado School of Mines and the Statistical Engineering Division at the National Institute of Standards and Technology are seeking immediate applications for a post‑doctoral position focusing on leading 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.
ResearchTitle
Postdoctoral Scholar / PREP
0004023 / Lead Data Infrastructure Software Engineer
In Boulder, CO at the NIST campus with the Applied and Computational Statistics Group in the Information Technology Lab and in Golden, CO on the campus of Colorado School of Mines.
Responsibilities- Lead the development of scientific computing applications and tools by partnering with domain experts, understanding the fundamental physics and meaning of the data, understanding stakeholder goals, and translating those goals into actionable software development plans and requirements.
- Guide the creation and deployment of a data repository to store, maintain, and share results of interlaboratory measurements and analyses.
- Guide and perform the data curation and data engineering work to transform raw data into machine actionable datasets as guided by the FAIR data principles.
- Manage and consolidate data streams originating from atomic clocks and the associated network components including, e.g., optical fiber links and optical frequency combs.
- Develop methodology for collating complex datasets involving multimodal data or heterogeneous processing pathways.
- Guide and extract information from the curated data using statistical techniques and/or AI approaches.
- Doctoral degree in at least one of the following fields: computer science, systems engineering, statistics, physics, or a closely-related discipline.
- Proven leadership in cross‑disciplinary environments; able to guide collaborative teams and provide strong scientific communication.
- 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.
- US Citizen Preferred.
- Successful completion of a background investigation and on‑site screening at NIST is required.
May 2026
Total Rewards$71,000 annual salary rate.
Mines takes into considerationMines takes into consideration a combination of candidate’s education, training and experience as well as the position’s scope and complexity, the discretion and latitude required in the role, work location, and external market and internal value when determining a salary level for potential new employees.
BenefitsColorado School of Mines offers a robust portfolio of benefits for all employees. For this role, that includes:
- Flexible health and dental care options (receive at a minimum with EE only coverage, $10,308 in medical benefits until July1,2026)
- Generous sick/vacation time: 13 paid holidays per year – including a week‑long winter break for entire campus.
- Fully vested retirement plan on first day of employment, with generous employer contribution (you will receive 12% from Mines in a MDCP averaging $8,640 a year)
- Tuition benefits (6 credits per year for employees, 50percent discount for dependents)
- Free RTD Ecopass for regional bus and light rail transportation
- All Mines employees also have access to discount programs through the State of Colorado and free tickets for Mines Athletics home games, as well as access to the state‑of‑the‑art Recreation Center (fitness classes and training, swimming pool and more) and equipment rentals through the Outdoor Rec Center.
- We are proud to have recently opened an on‑campus daycare center.
For more details about benefits at Mines, visit…
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