The incumbent provides data science expertise to a wide range of highly complex initiatives and projects focused on leveraging real-world data to improve patient outcomes and healthcare delivery in acute illnesses and public health emergencies. The work will involve leading the development of cutting-edge tools and resources to easily access, store, analyze, and exchange complex, high-quality data.

Duties

As a Data Scientist, the incumbent performs the following duties: 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).

Requirements

• U.S. Citizenship requirement or proof of being a U.S. National must be met by closing date.
• Employment is subject to the successful completion of a background investigation, verification of qualifications, completion of onboarding forms, submission of required documents, and any other job-related requirement before or after appointment.
• Applicants must meet all qualification requirements by the closing date of this announcement.
• Males born after December 31, 1959 must be registered with the Selective Service.
• Position requires Education, and you are asked to submit a copy of your transcripts with your application.
• If selected, you must pass a pre-employment medical examination, provide evidence of immunization, and be free from communicable diseases.
• The work may entail some walking, standing, bending, or carrying of light items. Work is performed in a typical office setting with adequate temperature control, lighting, and ventilation.
• This position is designated as a "non-emergency/teleworker" position.

Qualifications

You qualify at the GS-14 level, if you meet the following qualification requirements: Basic Requirements: To qualify for a Data Scientist, GS-1560 position, you must have a bachelor's degree, or graduate/higher level degree with a major study in mathematics, statistics, computer science, data science, or a field that is directly related to the position such as public health; OR, a combination of education (at least 30 semester hours) and additional appropriate/related experience that is the equivalent to a major in mathematics, statistics, computer science, data science or a field directly related to the position. All education, unless completed outside of the U.S., must be from an educational program from an accrediting body recognized by the U.S. Department of Education at the time the education was completed. Additional Requirements: In addition, in order to qualify for this position at the GS-14 level, 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 performing the following types of tasks: Enhancing data collection, preprocessing, and analysis activities by designing/implementing programming language codes (e.g., R, Python), feature engineering, advanced statistical methods/techniques (e.g., MANOVA, Bayesian Analysis), and machine learning/AI tools; Designing, implementing, or evaluating machine learning/AI tools (e.g., NLP, DP, RL) to extract insights from unstructured and multidimensional data; Presenting findings using data visualization tools, programming languages, and software applications (e.g., MATLAB, Tableau) to support evidence-based recommendations; and Leading the design/methodology and implementation of analytical projects and studies to extract new insights from Big Data. You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay. Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position. To determine your qualifications and referral status, we may review your resume and supporting documentation and compare it against your responses to the vacancy questionnaire. Ensure you support your self-ratings with the information you provide in your application. We may verify or assess your qualifications at any time. Inflated or unsupported qualifications may affect your rating. Any misrepresentation or material omission of facts may be sufficient cause to end further consideration of your candidacy. Persons listed as knowing your past accomplishments or experience in your application may be contacted for verification purposes at any time. Verification may, but need not, begin before receiving an offer. Preview assessment questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/12576528

Education

This position has an education requirement. You are strongly encouraged to submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades). Unofficial transcripts will be accepted in the application package. Official transcripts will be required from all selectees prior to receiving an official offer. Click here for information on Foreign Education.

Contacts

• Address National Institutes of Health 6701 Rockledge Drive Bethesda, MD 20892 US
• Name: NIH HR Service Desk Branch E
• Email: [email protected]