Easter Seals Jobs

Summary As a Data Science subject matter expert, you will provide leadership to meet strategic goals that advance the use of data science methods and tools for scientific discovery and promoting 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 Provide leadership to meet organizational strategic goals that advance the use of data science methods and tools for scientific discovery and promoting public health. Provide technical expertise and project leadership necessary to advance strategic initiatives in the use and effectiveness of data and knowledge driven methods in the organization. Identify strategies and implement approaches to understand and respond to the evolving research data needs of the organization. Identify, evaluate and recommend tools, techniques, and methods to increase access to and utility of clinical, biological, and other scientific datasets and knowledgebases. 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, Java, C/C++, Julia) 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, Scala, Java, C/C++, Julia) or software packages (e.g., MatLab, Tableau); 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. 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/12632733 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. 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]. 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. A one-year probationary period may be required upon selection/placement. 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 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.