Job Information
Kelly Services Senior Statistician - NIH - Rockville, MD in Rockville, Maryland
Kelly Government Solutions is a strategic supplier and business partner to the federal government and its key suppliers. Through our partnership with the National Institutes of Health, Kelly Government Solutions offers administrative, IT, engineering, scientific, and healthcare professionals the opportunity to work with the leading medical research center in the world. We are seeking a Senior Statistician to work as a/an at the National Institutes of Health in Rockville, MD .
This is a long-term contract position which offers:
Competitive compensation and comprehensive benefit package
Optional health, vision, and dental plans
Vacation leave as well as 10 paid federal holidays and 401K plan.
Access to NIH’s unparalleled resources and niche scientific initiatives
TASKS/SERVICES . The contractor shall:
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
Perform data programming, analysis and presentation by preparing charts, tables and graphs using software such as R, SAS and STATA.
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.
Prepare and/or update data tables and figures, methods sections of manuscripts, reports, and other documents for presentation and/or publication.
Take lead of the storage, tracking, internal review, and retrieval of information, documentation, and datasets for all assigned projects and projects of any subordinates.
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.
Provide statistical advice and consultation to the investigators in study design, data management, choice and application of statistical methods, data analysis, and interpretation of statistical results.
Carry out statistical analyses on issues via descriptive analyses, causal inference, predictive modeling, and other univariate and bivariate and multivariate analytic methods.
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.
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.
Develop and systematically apply data classification schemes and process and combine data sets for analysis from diverse sources.
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 algorithms and new statistical methodologies to analyze diverse sources of data to answer research questions.
Generate tables and graphics for abstracts, manuscripts, and presentations
Prepare for publication, results from clinical trials, intervention studies, observational studies, and secondary data analysis projects using complex survey data, hospital/medical records, administrative data, or other data sources.
Interpret and communicate results of analyses in written and oral formats.
Ensure that appropriate variables are captured in the constructed databases.
Format databases to allow merging of spreadsheets for statistical analyses and to optimize planned analyses
Record Data into a format appropriate for processing.
Apply statistical techniques to produce meaningful tables and graphs using appropriate software
Provide support with data sharing, including public repositories.
Work with staff to prepare and standardize data for the database.
Perform routine and general data management.
Prepare tables and figures from data analyses.
Perform database searches and assemble datasets.
Analyze studies using high-dimensional, longitudinal, clustered, multi-level, and repeated measures data.
Clean, condense, merge, and reformat data into files that are appropriate for data analysis and data sharing, including preparing de-identified datasets and documentation for external users
Create variables as needed for analyses and document methods and definitions for all variables created (e.g., data dictionary)
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).
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.
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.
Conduct data collection/entry, management, cleaning, and manipulation activities.
Creates Data Wokflow Processes.
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.
Process and analyze data using blind-source separation techniques.
Organize, manage and design data files and plans for associated statistical analysis.
Perform data cleaning, formatting, variable recoding, data harmonization, and data quality checks, and data management and manipulation
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
Attend all lab meetings, lab check-ins, and other research-related meetings as requested by investigators or trainees.
Report, either verbally and/or in writing, regular updates on the progress of their work to investigators.
Provide expertise on epidemiologic and statistical research methods as needed for research projects, protocols, and proposals
Train trainees on developing statistical analytic codes to analyze quantitative data to achieve research objectives and interpreting results from different statistical analyses
Provide periodic training on contemporary epidemiologic and biostatistics analytics approaches to the NIMHD DIR.
REQUIREMENTS . The contractor must have:
Doctorate degree in Biostatistics, epidemiology, statistics, or a closely related field
Applicants with publications in peer reviewed Journals are preferable
Preferred candidates with Health Disparities research experience
Experience with: Scientific Data analysis, Statistical modelling, Algorithm development, Data visualization, Machine learning
Proficiency in using advanced statistical methods, Linear and non-linear regression
Expertise to perform the duties of the position, which include working with NIMHD DIR investigators and fellows to perform data management and data analysis for both primary data collection studies and secondary/publicly available datasets in a timely manner
Experience conducting statistical analyses in complex survey data or other secondary data sources that involve sampling weights (e.g., NHANES, National Health Interview Survey [NHIS], Medical Expenditure Panel Survey [MEPS])
Experience with structural equation modeling, including but not limited mediation analysis, effect measure modification, moderated mediation analysis, latent class analysis (LCA), principal components analysis (PCA) and other dimensionality reduction methods (structural equation modeling); non- parametric statistical methods; quasi-experimental statistical analyses (e.g., difference-in-difference)
Analyze studies using high-dimensional, longitudinal, clustered, multi-level, and repeated measures data
Familiarity with Bayesian statistics and simulation modeling
Experience in working with students or trainees in teaching data analytic skills
Clean, condense, merge, and reformat data into files that are appropriate for data analysis and data sharing, including preparing de-identified datasets and documentation for external users
Create variables as needed for analyses and document methods and definitions for all variables created (e.g., data dictionary)
Expertise in performing statistical analyses using multiple statistical analysis software packages
Excellent analytical, organizational, and time-management skills - A drive to learn and master new technologies, statistical methods, and techniques
Experience conducting statistical analyses in electronic health records (EHR/EMR) and administrative claims : Data cleaning, Data analysis, Epidemiology, Data mining
Experience with Software such as: MPlus, SUDAAN, ArcGIS, R, SPSS, Python, SAS, STATA, C+ PLEASE APPLY ONLINE
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Kelly Services is proud to be an Equal Employment Opportunity and Affirmative Action employer. We welcome, value, and embrace diversity at all levels and are committed to building a team that is inclusive of a variety of backgrounds, communities, perspectives, and abilities. At Kelly, we believe that the more inclusive we are, the better services we can provide. Requests for accommodation related to our application process can be directed to Kelly’s Human Resource Knowledge Center. Kelly complies with the requirements of California’s state and local Fair Chance laws. A conviction does not automatically bar individuals from employment.