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Staff Fellow

Company: FDA Office of Women's Health
Location: Silver Spring
Posted on: December 2, 2019

Job Description:

STAFF FELLOW AT THE FDA OFFICE OF WOMEN'S HEALTH OFFICE OF WOMEN'S HEALTH OFFICE OF THE COMMISSIONER FOOD AND DRUG ADMINISTRATION DEPARTMENT OF HEALTH AND HUMAN SERVICES The Office of Women's Health (OWH), Office of the Commissioner (OC), Food and Drug Administration is recruiting a full-time Staff Fellow to work within the Office of Translational Sciences, Center for Drug Evaluation and Research (CDER). Successful candidates will be engaged in mining social media networks extensively to gather all sources of information that are not traditionally gathered as part of patient history but could provide important insights into risk factors for opioid and substance use disorder in pregnant women and relapse. This data will be collected with the intention of identifying interventions for prevention and treatment as well as rehabilitation post pregnancy. The work of the selected expert will include but not be restricted to: - Building predictive models of user patterns of opioid usage using machine learning with an aim to develop AI algorithms to help engage in preventive intervention in "at-risk" - populations - Development of scientific manuscripts, authoring scientific posters, manuscripts and other scholarly dissemination related to opioid overuse disorder in pregnant women - Coordinating with other federal agencies, academic and medical institutions for the collection of data and development of standardized algorithms and SOP's for mining social media or "unstructured" - data - Coordination of scientific conferences including development of background materials and subsequent white papers as necessary - Collaboration with experts to develop presentations for national meetings - Development of educational materials as necessary (e.g., webinars, PowerPoint presentations) - Data aggregation and visualization from existing databases and statistical data analysis - Participation in synergistic activities across FDA, federal landscape and external stakeholders regarding opioid overuse in pregnant women - Searching, reviewing, and communicating the scientific literature on relevant topics via written and verbal communication Attention to the health of women has been an integral part of FDA's mission. The Agency has a role in protecting and promoting the health of the American people, specifically in approving drugs, devices and other products to assure they are safe and effective. The FDA also has a public health mandate to ensure that consumers use these regulated tools to maximize health benefits. The Agency accomplishes this mission by providing leadership, assistance and support and by taking an active role in communicating its science-based information to the consumers they service, frequently turning to community organizations, women's advocacy groups, professional associations and national health education entities. The mission of OWH is to: - Serve as the principal advisor to the Commissioner and other key Agency officials on scientific, ethical, and policy issues relating to women's health - Provide leadership and policy direction for the Agency regarding issues of women's health and coordinate efforts to establish and advance a women's health agenda for the Agency - Promote the inclusion of women in clinical trials and the implementation of guidelines concerning the representation of women in clinical trials and the completion of sex/gender analyses - Identify and monitor the progress of crosscutting and multidisciplinary women's health initiatives including changing needs, areas that require study, and new challenges to the health of women as they relate to FDA's mission - Serve as the Agency's liaison with other agencies, industry, professional associations and advocacy groups with regards to the health of women. Additional information about the FDA OWH can be obtained at: The position will be filled through OWH's Research Fellowship program. The initial 2-year appointment will be funded through an OWH grant awarded and managed by CDER/OTS. Further consideration for extension of term may be considered by the Office of Translational Sciences. Applications will be accepted from U.S. citizens or Lawful Permanent Residents (green card holders) only. No previous Federal experience is required. Appointment does not confer any entitlement to a position in the competitive service, and there is no entitlement to Merit Systems Protection Board (MSPB) appeals rights. One- year probationary period may apply. QUALIFICATIONS: A PhD in statistics, computer science, mathematics, epidemiology with an emphasis on biological sciences, public health, health sciences, behavioral sciences, or related field with scientific writing and scientific literature research capabilities. Expertise in statistical analysis of real-world data such as patient reported outcomes and patient preferences would strengthen the applicant's potential for selection. The preferred candidate should have a comprehensive understanding of the latest big data science and big data analysis methods. The preferred candidate should not only understand the science in theory, but also have at least 2 years of hands-on experience of applying different AI/ML/NLP modeling technologies for big data analysis. The candidate should be able to apply different AI modeling methods to a set of data, and be able to distinguish the pros, cons, and outcomes of the analysis. The candidate should have the experience of using different AI libraries or packages to design or prototype solutions. The candidate should also have experience on defining and using training data set, using structured and unstructured data set, using multiple data sources, and performing data visualization. A minimum of two years experience in areas reflecting the above listed professional activities is preferred. In addition, the candidate must have strong collaborative skills, excellent written and oral communication skills, and evidence of leadership potential. HIGHLY DESIRABLE TECHNICAL QUALIFICATIONS: Knowledge of and programing experience in python to include the following considerations: Topic Modeling Using Gensim in Python. Topic models are a suite of algorithms that uncover the hidden thematic structure in document collections Clustering: Automatic grouping of similar objects into sets Classification: Identifying to which category an object belongs to Regression Knowledge of and familiarity with extraction, mapping, and alignment of drug names and adverse event terms to standard systematized terminologies (such as RxNorm, MedDRA, MeSH, and ATC) Knowledge of social media data extraction, NLP for social media mining, and supervised ML classification methods Experience with the full Software Development Life Cycle (SDLC) Agle/Scrum methodology experience Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) SALARY: Salary commensurate with education/experience. LOCATION: 10903 New Hampshire Avenue, Silver Spring, MD 20993 HOW TO APPLY: Please submit a statement of interest for the Staff Fellow position, resume or curriculum vitae (CV) detailing relevant experience, transcripts, the names/contact information for three references to: Catherine.Lifda.hhs.gov

Keywords: FDA Office of Women's Health, Silver Spring , Staff Fellow, Other , Silver Spring, Maryland

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