As a subject matter expert, you will be responsible for supporting the organization in meeting its strategic goals and in working with investigators to promote and apply computer methods and tools that advance scientific discovery and promote public health.

Duties

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.

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 the pre-appointment process (i.e., background investigation, verification of qualifications and job requirements, completion of onboarding forms, submission of required documents, etc.)
• If selected, you will be required to complete a Confidential Financial Disclosure Report, OGE Form 450 to determine if a conflict or an appearance of a conflict exists between your financial interest and your prospective position with the agency.
• Males born after December 31, 1959 must be registered with the Selective Service.
• Applicants must meet all qualifications requirements within thirty (30) calendar days of the closing date of this announcement, including time in grade.
• The position has a positive education requirement. Please provide transcripts

Qualifications

Basic Requirements: You must meet at least one of the following basic Office of Personnel Management prescribed occupational series requirements (GS-601, GS-1301, or GS-1560) described in the following three section. You do not need to meet the requirements for all three occupational series. 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. For the 0601 Health Scientist (Data Scientist) - In order to qualify for the Interdisciplinary Health Scientist (Data Science), GS-601 position, you must: A. possess a bachelor's degree, or graduate/higher level degree with major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of this position. For the GS-1301 Physical Scientist (Data Scientist) - In order to qualify for the interdisciplinary Physical Scientist (Data Science) GS-1301 position, you must: A. possess a bachelor's degree, or graduate/higher level degree with a major study in physical science, engineering, or mathematics that included 24 semester hours in physical science and/or related engineering science such as mechanics, dynamics, properties of materials, and electronics. OR B. possess a combination of education (at least 24 semester hours in the listed coursework) and additional appropriate/related experience that is the equivalent to a major in physical science, engineering, or mathematics. For the GS-1560 Data Scientist - In order to qualify for the interdisciplinary Data Scientist GS-1560 position, you must: A. Possess a bachelor's degree, or graduate/higher level degree in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Possess a combination of education (at least 30 semester hours in the listed coursework) 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 In addition, in order to qualify for a Health Scientist (Data Science)/Physical Scientist (Data Science)/Data Scientist , GS-0601, 1301, and 1560 at the GS-13 level, you must have at least one year of specialized experience at or equivalent to the GS-12 level in the Federal service, obtained in either the private or public sector performing the following types of tasks: partnering with relevant stakeholders (e.g., researchers, leadership) to build consensus around data standardization, integration, and sharing processes; creating and modifying scientific or medical applications using common programming languages (e.g., R, Python, SQL, Java, C/C++, Julia) to facilitate data clean-up, standardization, analysis, and retrieval efforts across an organization; presenting findings through data visualization techniques (e.g., interactive dashboards, charts, graphs) using programming languages (e.g., R, Python, SQL, Scala, Java, C/C++, Julia) or software packages (e.g., MatLab, Tableau); and applying advanced predictive analytic methods, such as Natural Language Processing (NLP), machine/deep learning, and other advanced Artificial Intelligence (A.I.) tools to derive insights from complex data sets (e.g., high volume, multidimensionality, complex structure). 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. 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. 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/12555128

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: Angela Newcomb
• Phone: 3018278083
• Email: [email protected]