Statistician (Data Analyst and Programmer)

6 days ago

Rockville, United States GAP Solutions, Inc. Full time

Provide services as a Statistician in support of the overall functions of the National Institute on Minority Health and Health Disparities (NIMHD) within the National Institutes of Health (NIH). Under this task order, the contractor will independently provide epidemiologic and statistical services to satisfy the overall operational objectives of the NIMHD Division of Intramural Research. The primary objective is to provide services and deliverables through the performance of support services. We are seeking one full-time statistician/data analyst/programmer to support the research activities of the NIMHD Division of Intramural Research.

**Duties and Responsibilities**:

- Perform statistical analysis using novel methods and algorithms.
- Assist researchers with the planning, implementing, and analysis of research projects.
- Perform data analysis, including model building analysis, assessing trends, determining correlations, testing for heterogeneity, and compiling and communicating results to investigators to participate in the interpretation of results and planning of further analyses.
- Carry out statistical analyses on issues via descriptive analyses, causal inference, predictive modeling, and other univariate and bivariate and multivariate analytic methods.
- Perform advanced epidemiologic and statistical analyses suitable for studies of health disparities and minority health including (but not limited to): linear and non-linear regression modeling; survival analysis; time series analysis; propensity score matching, weighting, standardization, multiple imputation, missing data weighting, censor weighting, and small area estimation to account for confounding, missing data, loss to follow up, selection bias, and other forms of potential bias in studies. **1**:

- Conduct statistical analyses; perform data cleaning and formatting, data harmonization, and data analyses; and prepare results for publication from intervention studies, observational studies, and secondary data analysis projects using complex survey data, hospital/medical records, administrative data, or other data sources.
- Advanced epidemiologic and statistical methods suitable for studies of health disparities and minority health including (but not limited to): linear and non-linear regression modeling; survival analysis; time series analysis; propensity score matching, weighting, standardization, multiple imputation, missing data weighting, censor weighting, and small area estimation to account for confounding, missing data, loss to follow up, selection bias, and other forms of potential bias in studies.
- Design and conduct statistical analyses using complex survey data or other secondary data sources that involve sampling weights (e.g., NHANES, BRFSS, National Health Interview Survey [NHIS], Medical Expenditure Panel Survey [MEPS], Current Population Survey and various supplements).
- Meet with data customers inside and outside the DIR to assess dataset requirements.
- Perform statistical analyses of large, complex datasets, preferably using SAS, for population health research using existing NIH and publicly available datasets or data collected by NIMHD investigators.
- Perform data programming, analysis and presentation by preparing charts, tables and graphs using software such as R, SAS and STATA. **2**:

- 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.
- Design and conduct statistical analyses using hospital/medical records, administrative data, and other primary and secondary data sources.
- Design and analyze studies using high-dimensional, longitudinal, clustered, multi-level, and repeated measures data.
- Design and conduct statistical analyses using complex survey data or other secondary data sources that involve sampling weights (e.g., NHANES, BRFSS, National Health Interview Survey [NHIS], Medical Expenditure Panel Survey [MEPS], Current Population Survey and various supplements).
- Develop and implement methods and procedures for the collection, processing, compilation, cleaning, and analysis of data in collaboration with DIR investigators and trainees.
- 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 algo

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