Data Scientist

National Institutes of Health; Maryland; On-site; USD 80,000 - 110,000; Full time

Job summary

The National Institutes of Health in Maryland seeks a Data Scientist to design and implement data-driven strategies across public health domains. You will collect, clean, wrangle, and prepare data for analysis, build predictive models, and develop visualizations to inform decision making.

The ideal candidate will apply AI, machine learning, and statistical inference to generate insights, maintain reproducible workflows, and lead data science initiatives within a collaborative, mission-driven

Responsibilities

• Designing and implementing strategies, methodologies, and tools to collect data relevant, accurate, and representative of the target population or phenomenon of interest.
• Using computational/statistical techniques for analyzing data, including AI, data mining, machine learning, and statistical inference to gain knowledge or insights, build classifiers and predictors, or infer causality.

Job description

The NIH's mission is to seek fundamental knowledge about the nature and behavior of living systems and the application of that knowledge to enhance health, lengthen life, and reduce illness and disability. We are looking for motivated Data Scientists in multiple locations to help drive the NIH mission. The following Institutes/Centers are participating in this recruitment: NIBIB NEI DTR Additional institutes/centers may also participate in this announcement.

Duties

If selected for this position as a Data Scientist, GS-1560-11/12/13 your duties may include, but are not limited to the following: Designing and implementing strategies, methodologies, and tools to collect data that is relevant, accurate, and representative of the target population or phenomenon of interest. Preparing the data and ensuring its suitability for the intended use (e.g., storage, analysis, or modeling) by cleaning, wrangling, and formatting the data. Organizing, storing, and maintaining data in a way that optimizes access patterns, security, and accommodates different data types and characteristics. Using computational/statistical techniques for analyzing data. This includes applying the algorithms and methods that underlie artificial intelligence (AI), data mining, machine learning, and statistical inference to gain knowledge or insights, build classifiers and predictors, or infer causality. Representing data and information visually through graphical or interactive means such as charts, graphs, maps, or dashboards. Explaining what the visualized data means considering context, point, implications, and possible ramifications. Developing, implementing, or leading data science initiatives, programs, or strategies while ensuring compliance, managing teams/resources, evaluating proposals, and maintaining reproducible work procedures. Developing, implementing, modifying, or providing recommendations on data visualization, healthcare AI, and other data science tools (e.g., machine learning).

Who Can Apply

The public

Federal employees who meet the definition of a "surplus" or "displaced" employee.