Easter Seals Jobs

Summary 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. Responsibilities 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: Apply analytical, machine learning, natural language processing, graph/network, visualization, and reporting tools to data sets in order to further scientific understanding and derive knowledge from data. Aid in the creation of strategies for the deployment, construction, and querying of data systems to gather and analyze biomedical research data. 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 Conditions of Employment 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 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). 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 assessment questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/12632657 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 "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. This position is eligible for remote work, a position designation where little to no onsite presence is required (e.g., once or twice annually). You may work anywhere in the U.S., including any of the territories. Worksites outside of the U.S. are prohibited. Your pay is determined by the geographically defined pay locality applicable to your approved worksite (e.g., home residence). Reporting to an NIH location may be required during the onboarding process. Visit NIH's Remote Work page for more information and requirements. 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), compressed schedules, flexible schedules]. 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. 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. PHS Commissioned Officers interested in performing the duties of this position within the Commissioned Corps should apply online to this announcement to receive consideration. We may make additional selections for similar positions within the commuting area(s) of the locations listed through this vacancy announcement. By applying, you agree to have your application shared with any interested selecting official(s). Clearance of CTAP/ICTAP will be applied for similar positions. 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. 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.