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Form of workJob Description
Job Description:
Under this task order, the contractor will independently provide support services to satisfy the overall operational objectives of the National Institute on Minority Health and Health Disparities. The primary objective is to provide services and deliverables through performance of support services.
Deliverables:
Minimum Education
Under this task order, the contractor will independently provide support services to satisfy the overall operational objectives of the National Institute on Minority Health and Health Disparities. The primary objective is to provide services and deliverables through performance of support services.
Deliverables:
- Work products and documents related to collaborating with staff on analyses of secondary data; perform statistical analyses of various minority health and health disparities topics. - Ad-Hoc
- Work products and documents related to performing literature, policy, portfolio and/or data analyses as needed for reporting purposes; manage health disparities data portal; perform modeling, machine learning and simulations. - Ad-Hoc
- Work products and documents related to performing scientific coding of NIMHD portfolio; perform system management, administration and oversight; attend meetings; present results and findings to staff for discussion. - Ad-Hoc
- Collaborate with Office of Science Policy, Planning, Evaluation and Reporting (OSPPER) and other NIMHD staff on analyses of secondary data. 1
- Perform statistical analyses of various minority health and health disparities topics. 2
- Perform literature, policy, portfolio and/or data analyses as needed for reporting purposes. 3
- Check and confirm the accuracy of calculations conducted by collaborating programmers, analysts, and presenters to guard against mistakes in design, conduct, or presentation of risk estimates. 4
- Perform modeling, machine learning ,and simulations. 5
- Performs experimental investigations and similar research projects utilizing extensive applications of mathematical and statistical methodologies.
- Perform statistical analysis using Client methods and algorithms.
- Carry out statistical analyses on issues via descriptive analyses, causal inference, predictive modeling, and other univariate and bivariate and multivariate analytic methods.
- Develops original computer code and programs for the application of new mathematical and statistical theories for the solution of proposed problems related to various scientific studies.
- Develop and systematically apply data classification schemes and process and combine data sets for analysis from diverse sources.
- Perform data programming, analysis and presentation by preparing charts, tables and graphs using software such as R, SAS and STATA.
- Ensure that all data products (dynamic reports, tables, and graphics) are reproducible from the original source data by maintaining clear, commented, and consistent code and organization of files and folders.
- Create interim dynamic reports that weave together text, code, output, tables and graphics and document all procedures and code used for data cleaning and analysis.
- Utilizes statistical software packages to manage, maintain and analyze large, complex statistical databases.
- Present data by preparing charts, tables, and graphs, using software that can be used for scientific monographs, book chapters, and professional presentations (including poster and oral presentations).
- Research methods in data analysis, revise study forms, graphically display analytic results, collaborate in writing or editing drafts of manuscripts for publication.
- Provide a cross-tabulation, descriptive analysis using standard statistical procedures, rate standardization, stratification of data, and model building.
- Recommend appropriate statistical techniques for analysis of research data and prepare statistical reports, analyze data, and use statistical software packages and programs such as SAS and R.
- Implement and validate cutting-edge algorithms and new statistical methodologies to analyze diverse sources of data to answer research questions.
- Perform system management, administration, and oversight.
- Enters and verifies data fields and data dictionaries.
- Transfer data between software, dataset creation (merge and concatenation), data cleaning (identify and correct data entry errors and missing values) and data transformation (create and categorize variables and impute data).
- Collect and refine new data and refine existing data sources.
- Create data entry applications to improve data collection and management.
- Enhance data collection strategy and procedures for primary and secondary data sources, including recovered data sources such as scans and microfilms of paper archives.
- Collects and analyzes mathematical data and performs descriptive and missing data analyses.
- Perform data analysis of data sets involving statistical procedures varying in complexity from simple bivariate tests to advanced regression methods for longitudinal data analysis and time-to-event analysis; determine correlations between variables.
- Perform data analysis including cross-tabulation, descriptive analysis using standard statistical procedures, as well as model building (logistic regression, conditional logistic regression).
- Assist staff in conducting evaluations and analyses of programs using appropriate methods and tools and perform data management and carry out statistical analysis for assigned research projects.
- Organize, manage and design data files and plans for associated statistical analysis.
- Tracks and documents all modifications, errors and changes to all databases and decisions.
- Complete technical writing including co-authoring of articles for journal submission and writing of professional services agreements and statements of work.
- Research and review literature to retrieve targeted clinical or scientific information from publicly available resources.
- Transfer data between software and create datasets (merge and/or concatenation), data cleaning (identify and correct data entry errors and missing values) and data transformation (create and categorize variables and impute data).
- Review literature and create bibliographies, research methods in data analysis, revise study forms, graphically display analytic results and collaborate with staff on writing and editing drafts of manuscripts for publication.
- Research and review literature to retrieve targeted clinical or scientific information from publicly available sources such as PubMed and other sources.
- Develops and coordinates the training program for staff in statistical and mathematical analysis.
- Perform system management, administration and oversight.
- Attend meetings; present results and findings to staff for discussion.
- Collaborate with Office of Strategic Planning, Legislation and Scientific Policy (OSPLSP) and other NIMHD staff on analyses of secondary data.
- Perform statistical analyses of various minority health and health disparities topics.
- Perform literature, policy, portfolio and/or data analyses as needed for reporting purposes.
- Maintain health disparities data portal.
- Perform modeling, machine learning and simulations.
- Perform scientific coding of NIMHD portfolio.
Minimum Education
- Master's
- Minimum of five (5) years of experience in statistics and research methodologies or the basic sciences.
- Knowledge of minority health and health disparities.
- Ph.D. in Statistics, Education or Behavioral Science or a related discipline; three (3) years of specialized experience plus a Master's degree is equivalent to a Ph.D.
- NIH Experience preferred
- Statistics and Decision Science
- Management Information Systems and Statistics
- Mathematics and Computer Science
- Mathematics
- Applied Mathematics
- General Medical and Health Services
- Economics
- General Social Sciences
- Interdisciplinary Social Sciences
- Proficiency in statistic and statistical software use, advanced statistic for multivariate analyses, and interpretation of data and data patterns.
- Strong communications skills, both oral and written
- Scientific Data analysis
- Statistical modeling
- Knowledge of Minority Health and Health Disparities
- Data analysis
- Data mining
- Machine learning
- Data visualization
- Data presentation
- Excellent analytical, organizational and time management skills.
