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Data Scientist

National Institutes of Health

Remote · USFull-time$85–158K/yrPosted today

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At a glance

Compensation
$85–158K/yr
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The NIH seeks motivated Data Scientists to design and implement data collection strategies, prepare and clean data, apply statistical and AI techniques, visualize results, and lead data science initiatives across multiple institutes, supporting the agency’s mission to enhance health and reduce illness.

Skills & qualifications

RequiredNice to have

Skills

RPythonLogistic RegressionANOVAMATLABTableauMachine LearningArtificial IntelligenceNLPDPRLDeep LearningReinforcement LearningMANOVABayesian AnalysisFeature EngineeringData Visualization

Qualifications

Bachelor's DegreeGraduate/Higher Level DegreeOne Year Specialized ExperienceThree Years Graduate Education Leading to PhD

Full job description

Summary

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). 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 (GS-11): In addition, 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: developing recommendations for the most efficient ways to collect quantitative information; creating data cleaning/wrangling scripts to transform data into a suitable format for analysis or storage; analyzing data with programming languages (e.g., R, Python) using statistical methods/techniques (e.g., Logistic Regression, ANOVA) to extract insights/findings; and 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. Additional Requirements (GS-12): In addition, in order to qualify for this position at the GS-12 level, you must have at least one year of specialized experience at or equivalent to the GS-11 level in the Federal service, obtained in either the private or public sector performing the following types of tasks: Performing data collection, preprocessing, and analysis by applying programming languages (e.g., R, Python), feature engineering, advanced statistical methods/techniques (e.g., MANOVA, Bayesian Analysis), and machine learning/AI tools; Implementing machine learning/AI tools (e.g., NLP, DP, RL) to extract insights from data; and, Summarizing data analysis results using data visualization tools, programming languages, and software applications (e.g., MATLAB, Tableau) to prepare presentations for external stakeholders. Additional Requirements (GS-13): In addition, in order to qualify for this position 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: Enhancing data collection, preprocessing, and analysis activities by implementing/adapting programming language codes (e.g., R, Python), feature engineering, advanced statistical methods/techniques (e.g., MANOVA, Bayesian Analysis), and machine learning/AI tools; Adapting and implementing machine learning and Artificial Intelligence techniques (e.g., NLP, Deep Learning, Reinforcement Learning) to extract insights from unstructured data; Explaining findings using data visualization tools, programming languages, and software applications (e.g., MATLAB, Tableau); and, Explaining data science concepts to stakeholders (e.g., researchers, leadership) to build consensus in planning data initiatives (e.g., data collection, preprocessing, analysis, reporting). 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 application questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/13072100

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. How You Will Be Evaluated

You will be evaluated based on how well you meet the qualifications listed in this vacancy announcement. Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), your responses on the application questionnaire, and your responses to all assessments required for this position. You will be assessed on the following competencies Attention to Detail Customer Service Decision Making Flexibility Integrity/Honesty Interpersonal Skills Learning Reasoning Self-Management Stress Tolerance Teamwork The USA Hire Assessments includes a cut score based on the minimum level of required proficiency in these critical general competencies. You must meet or exceed the cut score to be considered. You will not be considered for the position if you score below the cut score or fail to complete the assessment. Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration. Cheating on an assessment may also result in your removal from consideration. A direct hire authority covers the position(s) advertised in this announcement. Traditional rating and ranking of applicants, including category rating, does not apply. Qualified candidates meeting the minimum proficiency score on the technical assessment will be referred for further consideration in accordance with the Office of Personnel Management's Direct Hire guidelines. Veterans' Preference does not apply. To be considered well qualified for the Career Transition Assistance Program (CTAP) and the Interagency Career Transition Assistance Program (ICTAP), you must be able to satisfactorily perform the duties of the position upon entry and substantively exceed the basic qualifications and meet all eligibility, physical, medical, suitability, and all other requirements. The position(s) advertised in this announcement are covered by the agency's Reemployment Priority List (RPL). RPL candidates will be rated, placed into one of the quality categories below, and referred to the hiring office, once veterans' preference is applied. Qualified Well Qualified Best Qualified Additional selections may be made for similar positions across the Department of Health and Human Services (HHS) within the local commuting area(s) of the location identified in this announcement. By applying, you agree to have your application shared with interested selecting official(s) at HHS. Clearance of CTAP/ICTAP will be applied for similar positions across HHS. Other 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. Based on your appointment, a one or two-year trial/probationary period may be required. A decision regarding your continued employment with NIH will be made as you near the end of this period. PHS Commissioned Officers interested in performing the duties of this position within the Commissioned Corps should also apply online to this announcement in order to receive consideration. 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. Military Spouses selected from this announcement will remain in their current duty location (i.e., the official duty station of the military service member. Must be able to perform the essential duties of the position, with or without reasonable accommodation. Visit our Help Applying page 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. 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.

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