Interdisciplinary Data Scientist

NIGMS-funded scientists investigate how living systems work at a range of levels, from individual molecules and cells to tissues, organs, research organisms, humans, and whole populations. Additionally, to ensure the vitality and continued productivity of the research enterprise, NIGMS provides leadership in training the next generation of scientists, in enhancing the diversity of the scientific workforce, and in developing research capacity throughout the country.

A Data Scientist will be expected to perform the following duties, including, but not limited to:

• Apply analytical, machine learning, natural language processing, graph/network, visualization, and reporting tools to data sets in order to further scientific understanding and derive knowledge from data.
• Aid in the creation of strategies for the deployment, construction, and querying of data systems to gather and analyze biomedical research data.
• Provide support and guidance to promote foundational research in data science methods.
• Identify and implement emerging data and knowledge driven methods and technologies that address the evolving needs of the research community.
• Advise and inform researchers and staff on the use of data science methods and tools.
• Assist researchers and staff in translating new data science methods and data resources into practice.
• Contribute to the development of roadmaps to shape long-term strategic goals for data and knowledge systems, especially in terms of handling large-scale and complex data systems.