Summary The National Institute of Neurological Disorders and Stroke (NINDS), Office of the Director (OD), Office of Scientific Management and Operations (OSMO), Office of Pain Policy and Planning (OPPP) is recruiting for Health Scientist (Data Science)/Physical Scientist (Data Science)/Data Scientist positions. Responsibilities Write and edit programs (R, SAS, SQL, or Python) to query relational database, organize and analyze data from IMPACII or other relational database. Share programming code (R, SAS, SQL or Python), document steps of analysis and collaborate with team to ensure transparent and reproducible results. Investigate and provide collaborative feedback to team and leadership in understanding and editing programs (R, SAS, SQL or Python) for data anomalies, data integrity, nuances and other unexpected patterns in the data. Apply statistical techniques, models and tests to gain insight into the data and inform direction of subsequent analysis and explanation of significance of differences observed in the data. Write narrative explanations and interpretations of data findings, results and create summaries of the data as part of larger comprehensive analysis. Utilize scientific research methodologies and approaches to develop testable hypotheses to answer questions pertaining to scientific portfolio analyses for program staff and leadership. Requirements Conditions of Employment Qualifications To qualify for this position, you must meet the education requirement and specialized experience listed below. Basic Education 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 questions. You do not need to meet the requirements for all three occupational series. All education, unless completed outside 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 Science): In order to qualify for the Health Scientist (Data Science), GS-601 position, you must have 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 Science): In order to qualify for the 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) 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 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) 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. 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, that includes the following types of tasks: developing data-related strategies and/or policies by partnering with stakeholders (e.g., researchers, leadership) to build consensus around data standardization, integration, and sharing processes; providing oversight and guidance on creating and modifying applications using programming languages (e.g., R, Python, SQL, Scala, SAS, Java) 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, SAS, Scala, & Java) or software packages; providing oversight and guidance on 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); and leading a team in data generation, curation, storage, analysis, visualization, and/or interpretation to accomplish project objectives. 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. Preview assessment questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/12600027https://apply.usastaffing.gov/ViewQuestionnaire/12600027 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. Additional Information This position is designated as a " Tier II, non-emergency/teleworker" position and the selected candidate will be considered a "non-emergency/teleworker" employee. In the event of a closure, you must be available to telework or request leave. A one-year probationary period may be required upon selection/placement. At the supervisor's discretion, this position may offer work schedule flexibilities: telework (work from home on a regular basis or ad hoc basis but reports to the office at least once a week/two days a pay period). PHS Commissioned Officers interested in performing the duties of this position within the Commissioned Corps should apply online to this announcement to receive consideration. 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. This information is required annually. For information, visit the NIH Ethics website: https://ethics.od.nih.gov/fd. We may make additional selections for similar positions across the National Institutes of Health within the local commuting area(s) identified in this vacancy announcement. By applying, you agree to have your application shared with any interested selecting official(s) at NIH. Clearance of CTAP will be applied for similar positions across NIH. The National Institutes of Health participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). E-Verify helps employers determine employment eligibility of new hires and the validity of their Social Security numbers. The NIH maintains a tobacco free work environment and campus. Must be able to perform the essential duties of the position, with or without reasonable accommodation. Visit our Applicant FAQs page for helpful information on the application process. Visit our Total Compensation page and this sample for a detailed look into the benefits, awards, leave, retirement, and other incentives employees may receive as part of a rewarding work environment.