Statistician Data Analyst and Programmer

Job Family :
Data Science & Analysis (Digital)

Travel Required :
None

Clearance Required :
Ability to Obtain Public Trust

What You Will Do :
We are currently searching for a Statistician Data Analyst and Programmer to support the research activities of the NIMHD Division of Intramural Research . The role 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. This is a full-time opportunity located in Rockville, MD.

• 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.
• 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.
• Develop and implement methods and procedures for the collection, processing, compilation, cleaning, and analysis of data in collaboration with DIR investigators and trainees.
• 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.
• 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 Workflow Processes.
• 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.
• 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.
• 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.
• 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)
• 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.
• 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.
• Develops and coordinates the training program for staff in statistical and mathematical analysis.
• 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.

#SOAR

What You Will Need :

• Master's Degree plus three years of experience or a Doctorate degree in Biostatistics, epidemiology, statistics, or a closely related field
• Experience in any of the following fields: Statistics and Decision Science, Computer Programming and Data Processing, Applied Mathematics, Management Information Systems and Statistics, or Mathematics and Computer Science
• Software Experience in any of the following: MPlus, SUDAAN, ArcGIS, R, SPSS, Python, SAS, STATA, or C
• Scientific Data analysis and Statistical modeling
• Algorithm development
• Data visualization
• Machine learning
• 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

What Would Be Nice To Have :

• Applicants with publications in peer reviewed Journals are preferable.
• Preferred candidates with Health Disparities research experience

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.