Founded in 1901, NIST is a non-regulatory federal agency within Commerce. NIST's mission is to promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life.
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This position is Director for the Office of Data and Informatics (ODI) in the Material Measurement Laboratory. The ODI Director's role is part data steward for improving quality, part evangelist for data sharing, part technologist, and part developer and strategic visionary for creation of new data products.
The Material Measurement Laboratory (MML) serves as the national reference laboratory for measurements in the chemical, biological and material sciences through activities ranging from fundamental and applied research, to the development and dissemination of certified reference materials, critically evaluated data, and other programs and tools to assure the quality of measurement results. MML is also responsible for coordinating the NIST-wide Standard Reference Material and Standard Reference Data programs.
This position provides strategic vision and program direction for the new office of approximately eight staff members including Ph.D scientists with backgrounds in the information, physical and bio sciences. The office has significant potential for growth and the ODI Director will be expected to develop a vision for the staffing required to address the burgeoning data needs of MML and of NIST as a whole. The ODI director is responsible for the NIST Standard Reference Data Program including developing new products, utilizing a quality framework, strengthening marketing and providing effective business models for distribution, sales, and maintenance of data products, as well as guidance for navigating licensing, intellectual property and legal issues related to Standard Reference Data and MML research data.
The Material Measurement Laboratory (MML) is seeking a highly experienced and self-motivated individual to plan, develop, & implement the programs and operations of the new Office of Data and Informatics (ODI), at NIST in Gaithersburg, Maryland. The ODI will be a premier, pioneering resource for researchers and institutions in the Materials, Chemical, and Biological sciences who need to leverage both large and information-rich data sets now common in many disciplines; who are faced with challenges of handling, archiving, storage, and analysis of such data; and who would transform such data into products that can be reliably and broadly shared and used for sophisticated scientific endeavors. The ODI will support National needs such as the Materials Genome Initiative (MGI) and biological and chemical data integration, as well as modernize current NIST reference data services for use in state-of-the-art computer paradigms (i.e., virtual computing, parallel analysis, interoperability, semantic web, etc.) and support the development of next generation NIST reference data services. The ODI will also facilitate MML's adherence to the government open-data policy by providing guidance and assistance in the best practices for archiving and annotating research and data outputs. A service-oriented organization, the ODI will add value to data activities by providing guidance, assistance and resources for optimizing the discoverability, usability, and interoperability of data products in ways that support NIST scientists and stakeholders. The Office is composed of two groups: (1) Data Services Group (2) Data Sciences Group.
The ODI Director will lead, manage resources, conceive new programs, and develop complementary implementation strategies. Although there are elements of responsibility for data infrastructure, the role of the ODI Director is not to run a data center. In addition to subject matter expertise in a traditional field of scientific study, ideal candidates will have training and experience with data science and delivery, combined with experience managing and sponsoring IT projects emphasizing scientific data, for example, web based applications, digital repositories, external collaboration with large data sets and scientific database design and integration.