Term Positions

Federal Employee/Term appointment (U.S. Citizenship required): Positions created by NIST to advance its critical mission. Application through www.USAjobs.gov   

Position: Biologist: Advanced cellular imaging 

Position description: Support the Biosystems and Biomaterials Division program in Cellular Measurements and Optical Imaging for single cell functional analysis using live cell microscopy.  Performing setup, acquisition, and analysis of live cell imaging assays. Live cell imaging assays include cell viability, gene edited cell tracking, lentivirus transduction, and pseudovirus infection. Interact with team members with multidisciplinary backgrounds including biologists, engineers, and computer scientists. 

Contact: John Elliott (john.elliott@nist.gov)

Position: Genome Editing: Biologist/Computer Scientist 

Position description: Serve as bioinformatics and/or data science analyst leading projects for the NIST Genome Editing Program and NIST Genome Editing Consortium.  Duties include analyze human/mammalian DNA sequencing data using the latest computational methods; organize and store data and metadata following community defined best practices; use bioinformatics tools to determine the genetic changes in genome editing measurement experiments; work with NIST researchers to ensure that the data and associated analysis is of high quality and the information derived from the data is supported and that data is responsibly stored.  

Contact: Samantha Maragh (samantha.maragh@nist.gov)  

Position: Genome Editing: Biologist 

Position description: Lead and conduct research towards developing genomic measurements, documentary standards, reference data, and reference materials for the field of genome editing as part of the NIST Genome Editing Program.  Duties include: design, execution, and analysis of genome editing experiments in mammalian cells (e.g. CRISPR/Cas9); mammalian cell culture; general use of molecular biology techniques, purification of DNA and NGS library preparation for Illumina sequencing, assessment of cell and genomic reference materials 

Contact: Samantha Maragh (samantha.maragh@nist.gov)  

Position: Bioinformatician/Computational Biologist 

Position description: Develop metrology to extend NIST’s human genome benchmarks to meet stakeholder needs for benchmarking genome sequencing. Develop methods to assign uncertainty and explain results from machine learning methods for genome sequencing. Work with Genome in a Bottle Consortium stakeholders to develop and disseminate methods in an open science project for benchmarking human genome sequencing for clinical and research applications. Characterize additional whole genome tumor and germline reference samples.  Engage in technical planning, direction, and work, and lead at least one project for developing a benchmark data set and/or benchmarking methods. 

Contact: Justin Zook (justin.zook@nist.gov)

Position: Machine Learning for Engineering Biology 

Position description: We are recruiting applicants for experimental and theoretical research to advance control and rational design for engineering biology. Of particular interest is the development of new approaches to measure, understand, predict, and control information, learning, function, and evolution across the spatial and temporal scales of biological organization, although related ideas in other topics are welcome. We are seeking independent and motivated individuals with backgrounds across the physical, engineering, chemical, and biological disciplines to contribute to this collaborative, interdisciplinary Team. Facilities include state of the art systems for automated microbial engineering, culture, and measurement, synthetic biology, single molecule techniques, computation, and cleanroom fabrication and characterization. The person hired for this position will help to lead the development of machine learning methods as part of an emerging measurement infrastructure for engineering biology. They will collaborate actively with a multidisciplinary team at NIST to develop new machine learning methods and facilitate integration of those methods with automation systems for a variety of biological measurements and predictive design of biological function. 

Contact: Elizabeth Strychalski (elizabeth.strychalski@nist.gov)  

Position: Synthetic Biology 

Position description: We are recruiting applicants for experimental and theoretical research to advance control and rational design for engineering biology. Of particular interest is the development of new approaches to measure, understand, predict, and control information, learning, function, and evolution across the spatial and temporal scales of biological organization, although related ideas in other topics are welcome. We are seeking independent and motivated individuals with backgrounds across the physical, engineering, chemical, and biological disciplines to contribute to this collaborative, interdisciplinary Team. Facilities include state of the art systems for automated microbial engineering, culture, and measurement, synthetic biology, single molecule techniques, computation, and cleanroom fabrication and characterization. The person hired for this position will help to lead the development of synthetic biology techniques to advance control and rational design of engineered biological function. 

Contact: Elizabeth Strychalski (elizabeth.strychalski@nist.gov)  

NIST-NRC Postdoctoral Fellowship

The National Research Council sponsors a 2-year fellowship to work at NIST. Quick facts about the fellowship:

  • Stipend is $71,128 per year plus benefits and relocation expenses

  • Application deadlines are Feb. 1 and Aug. 1 of each year

  • Open to US citizens only

Detailed information on application procedures and materials along with supporting documents are available at: http://nrc58.nas.edu/RAPLab10/Opportunity/Program.aspx?LabCode=50

NIST-NRC Research Opportunities Available within the Biosystems and Biomaterials Division: Link: https://www.nist.gov/mml/bbd/nist-nrc-postdoctoral-fellowship