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As a Data Science 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.
The Division of Data Integration, Modeling, and Analytics (DIMA) is the National Institute of General Medical Sciences central nexus for all data-driven discussions, decisions, and actions.
12/12/2024 to 12/15/2024
$86,962 - $167,336 per year
GS 12 - 13
1 vacancy in the following location:
Yes - Salary displayed is the absolute maximum and minimum allowed. Pay will be set using the appropriate locality upon selection.
Not applicable, this is a remote position.
Not required
No
Permanent
Full-time
Competitive
13
No
No
NIH-NIGMS-MP-25-12632713
822786400
Current or former competitive service federal employees.
Federal employees who meet the definition of a "surplus" or "displaced" employee.
Individuals eligible under a special authority not listed above, but defined in the federal hiring regulations.
Family members of a federal employee or uniformed service member who is or was, working overseas.
Certain current or former term or temporary federal employees of a land or base management agency.
You must be a current or former federal employee eligible to apply under merit promotion procedures or otherwise be eligible as a status applicant (e.g. Veterans Employment Opportunity Act) OR be an individual who is eligible through an OPM interchange agreement or for a non-competitive appointment. This job is also open to USPHS Commissioned Corps Officers and Call-To-Active Duty (CAD) Candidates.
NIGMS-funded scientists investigate how living systems work at a range of levels, from individual molecules and cells to tissues, organs, research organisms, humans, and whole populations. Additionally, to ensure the vitality and continued productivity of the research enterprise, NIGMS provides leadership in training the next generation of scientists, in enhancing the diversity of the scientific workforce, and in developing research capacity throughout the country.
A Data Scientist will be expected to perform the following duties, including, but not limited to:
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 proceeding three questions. 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 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 Health Scientist (Data Scientist), GS-0601 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 mathmatics, 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 Requirements:
FOR THE GS-12 LEVEL: 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-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: working on organizational data standardization, integration, and sharing to assist stakeholders (e.g., researchers, leadership); modifying applications using 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, Phyton, SQL, Scala, Java, C/C++, Julia) or software packages (e.g., MatLab, Tableau); and applying predictive analytics methods, such as Natural Language Processing (NLP), machine/deep learning, or other Artificial Intelligence (A.I.) tools to extract insights from data.
FOR THE GS-13 LEVEL: 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.??
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.
You will be evaluated for this job based on how well you meet the qualifications above.
You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics):
RESUME:
Your resume must thoroughly describe how your skills and experiences align to the criteria defined in the "Qualifications" section of this announcement and it must support your responses to the assessment questionnaire. We cannot assume you have performed the necessary experience required for this position regardless of your employment history or academic career. To ensure all of the essential information is in your resume, we encourage you to use the USAJOBS online Resume Builder. If you choose to use your own resume, you must ensure it contains all of the required information and you organize it so we can associate the following information for each experience/position:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
This announcement accepts applications during the open period of 12/12/2024 through 12/16/2024; unless the applicant cut-off (100 applications) is reached. This announcement will close at 11:59 PM Eastern Time (ET) on 12/16/2024, or on the day the 100th application is received, whichever comes first. A complete application package must be submitted by 11:59 PM ET on the closing day of the announcement to receive consideration. Early submission of your application is highly encouraged.
To apply for this position, please read and follow all instructions in this announcement, complete the online application, and submit the documentation specified in the "Required Documents" section. Your complete application package must be submitted by 11:59 PM Eastern Time (ET) on 12/16/2024 to receive consideration.
HHS has a critical preparedness and response mission: HHS protects the American people from health threats, researches emerging diseases, and mobilizes public health programs with domestic and international partners. In support of this mission, HHS offers its employees the opportunity to volunteer to become Federal Civilian Detailees and contribute their unique skills through voluntary temporary assignments to humanitarian emergencies or Departmental priorities countering new and emerging health, safety, and security threats.
Once you submit your application package, you will receive an acknowledgement email. You will be notified of the status of your applications via email. In addition, you can track the progress of your application package through your USAJOBS account.
At the discretion of the agency, you may be contacted via phone or email for an interview or to provide additional information up to several months from the closing date of the announcement. Please ensure you have provided accurate contact information. To remain in consideration, you must respond in a timely manner to our correspondence and requests for documentation or information throughout the hiring process.
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/job/822786400. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.
Learn more about
The National Institutes of Health (NIH), a part of the U.S. Department of Health and Human Services, is the largest biomedical research funding organization in the world. NIH is made up of 27 Institutes and Centers, each with a specific research agenda, often focusing on particular diseases or body systems. NIH employs approximately 18,000 employees in varied occupations, all supporting research efforts that improve health and save lives. For more information on NIH's mission and goals, and its 27 Institutes and Centers, visit the NIH website.
Virtually explore the National Institutes of Health's (NIH) Bethesda campus, learn about scientific research, and get to know NIH community members who are working to help people live longer, healthier lives: https://www.nih.gov/virtual-tour/.
The National Institute of General Medical Sciences (NIGMS) supports basic research that increases our understanding of biological processes and lays the foundation for advances in disease diagnosis, treatment, and prevention. NIGMS-funded scientists investigate how living systems work at a range of levels-from molecules and cells to tissues and organs-in research organisms, humans, and populations.
The Division of Data Integration, Modeling, and Analytics (DIMA) is the NIGMS central nexus for all data-driven discussions, decisions, and actions. DIMA provides data and information that aid in the efficient administration of all NIGMS programs and in the proper stewardship of taxpayer resources.
