Friday, May 17, 2024

NIH seeks NIAID Health Scientist (Data Science)/Physical Scientist (Data Science)/Data Scientist


  • Provide leadership to meet organizational strategic goals that advance the use of data science methods and tools for scientific discovery and promoting public health.
  • Provide technical expertise and project leadership necessary to advance strategic initiatives in the use and effectiveness of data and knowledge driven methods in the organization.
  • Identify strategies and implement approaches to understand and respond to the evolving research data needs of the organization.
  • Identify, evaluate and recommend tools, techniques, and methods to increase access to and utility of clinical, biological, and other scientific datasets and knowledgebases…

Additional Qualification Requirements:

You must have at least one-year of specialized experience at or equivalent to the GS-13 level in the Federal service, obtained in either the private or public sector, which includes developing organizational data-related strategies and procedures by partnering with the relevant stakeholders (e.g., researchers, leadership) to build consensus around data standardization, integration, sharing, and security processes that provide reliable/readily available data to make informed decisions. This specialized experience includes the following types of tasks:

  • Providing oversight and guidance on the implementation and integration of state-of-the-art technologies and solutions for a scientific research organization.
  • Supporting scientific data and knowledge management systems by providing guidance on administration and management functions such as architecture, infrastructure, policy development, technology evaluation, short-and long-term planning, etc.
  • Providing guidance on creating and modifying scientific applications using programming languages (e.g., R, Python, SQL, Scala, Java, C/C++, Julia) to facilitate data clean-up, standardization, analysis, and retrieval efforts across an organization.
  • Presenting findings to senior-level leadership through data visualization techniques (e.g., interactive dashboards, charts, graphs) using programming (e.g., R, Python, SQL, Scala, Java, C/C++, Julia) or software packages (e.g., MatLab, Tableau).

Read the full job description here.


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