Summary Join one of the 24 Institutes and Centers within the NIH that awards extramural grants! Extramural grants account for approximately 80 percent of NIH's budget and are awarded to investigators at more than 2,500 universities, medical schools, and other research organizations around the world. To learn more about the grants process, @types of grant programs, and the peer review process, visit: Office of Extramural Research. Responsibilities If selected for this position as a Data Scientist, GS-1560-09/11 your duties may include, but are not limited to the following: Assists higher-graded employees in the performance of continued projects in data science topics that include scientific, statistical, and predictive techniques (e.g., regression analysis, statistical analysis, modeling, mathematical programming, machine learning, and data visualization). Develops models, forecasts, and visualization based on generally accepted statistical methods to demonstrate the patterns identified and highlight indicators. Analyzes, designs, normalizes, develops, and implements databases or manipulates existing databases using a relational database management system or other database (e.g., Oracle, MySQL, SQL Server, Azure). Uses a variety of programming languages to write scripts, procedures, functions, expressions to manipulate or visualize data (e.g., VBA, Python, R, Julia, Scala, SQL, JavaScript, etc.). Uses a variety of tools and platforms to create data visualizations and other reporting needs (e.g., Statistical Analysis System (SAS), Apache Hadoop, Tableau, PowerBI, QlikView, D3.js). Assists senior specialists in presenting findings in the most relevant format, including text, graphs, charts, tables, and models. Assists in the development and integration of data mining capacities using algorithms as well as structured databases to perform predictive analytics on these data. 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 Conditions of Employment Qualifications 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; 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-09 level, you must have: At least one year of specialized experience at or equivalent to the GS-07 level in the Federal service, obtained in either the private or public sector performing the following @types of tasks: 1.) extracting raw data from multiple sources in preparation for data cleaning and manipulation; 2.) conducting data cleaning with programming languages (e.g., R, Python) to transform raw data into clean, organized information; 3.) analyzing data to identify trends, patterns, or relationships using statistical methods/techniques (e.g., Logistic Regression, ANOVA); 4.) summarizing findings using data visualization tools to inform data-driven decisions; or, 2 years of progressively higher-level graduate education leading to a master's degree or master's or equivalent graduate degree in a related field; or, A combination of post baccalaureate education in a related field, and specialized experience that meets 100% of the qualification requirements for this position. In order to qualify for this position at the GS-11 level, you must have: At least one year of specialized experience at or equivalent to the GS-09 level in the Federal service, obtained in either the private or public sector performing the following @types of tasks: 1.) developing recommendations for the most efficient ways to collect quantitative information; 2.) creating data cleaning/wrangling scripts to transform data into a suitable format for analysis or storage; 3.) analyzing data with programming languages (e.g., R, Python) using statistical methods/techniques (e.g., Logistic Regression, ANOVA) to extract insights/findings; 4.) summarizing data analysis results using data visualization tools to prepare presentations for internal stakeholders or team members; or, 3 years of progressively higher-level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree in a related field; or, A combination of post baccalaureate education above the master's level in a related field, and experience that meets 100% of the qualification requirements for this position. Do not copy and paste the duties or specialized experience 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. 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 application questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/12962740 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. If you qualify based on education in lieu of specialized experience, 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 packages. 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 "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. PHS Commissioned Officers interested in performing the duties of this position within the Commissioned Corps should apply online to this announcement to receive consideration. The NIH maintains a tobacco free work environment and campus. A newly appointed or reappointed individual may receive a recruitment incentive. Recipients will be determined on a case-by-case basis based on organizational need, specific case justification, and budget limitations. At the supervisor's discretion, this position may offer work schedule flexibilities: telework compressed schedules, flexible schedules. Must be able to perform the essential duties of the position, with or without reasonable accommodation. Visit Help Applying for helpful information on the application process. If you believe you have a disability (i.e., physical or mental), covered by the Rehabilitation Act of 1973 as amended that would interfere with completing the USA Hire Competency Based Assessments, you will be granted the opportunity to request a RA in your online application. Requests for RA for the USA Hire Competency Based Assessments and appropriate supporting documentation for RA must be received prior to starting the USA Hire Competency Based Assessments. Decisions on requests for RA are made on a case-by-case basis. If you meet the minimum qualifications of the position, after notification of the adjudication of your request, you will receive an email invitation to complete the USA Hire Competency Based Assessments, based on your adjudication decision. You must complete all assessments within 48 hours of receiving the URL to access the USA Hire Competency Based Assessments if you received the link after the close of the announcement. To determine if you need a RA, please review the Procedures for Requesting a Reasonable Accommodation for Online Assessments here: Reasonable Accommodation Information A newly appointed or reappointed employee may receive service credit for prior work experience or active-duty uniformed service that otherwise would not be creditable for the purpose of determining his or her annual leave accrual rate. All creditable service must be directly related to the duties of the position being filled and decisions to allow for such credit must be finalized prior to the selectee's entrance on duty. Recipients will be determined on a case-by-case basis based on organizational need, specific case justification, and budget limitations. If selected, you may be eligible to receive a salary above the minimum based on superior qualifications and/or a special need of the Government for your services. This applies to employees paid under the General Schedule (GS) and Federal Wage System (FWS) pay systems and is at the discretion of the hiring manager. A salary above the minimum must be approved before the appointment. Veterans' Preference only applies to Schedule A (disability appointment), HHS Reemployment Priority List (RPL) Eligibles, HHS Priority Reemployment List (PRL) Eligibles, and Veterans Recruitment Appointments (if applicable).
