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Biostatistician Data Analyst - NIH - Rockville, MD


Kelly Services


Location

Rockville, MD | United States


Job description

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 Bios tatistician Data Analyst at the National Institutes of Health in Rockville, MD

This is a long-term contract position which offers:

TASKS/SERVICES. The contractor shall:

  1. 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

  2. Perform data programming, analysis and presentation by preparing charts, tables and graphs using software such as R, SAS and STATA.

  3. 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.

  4. Prepare and/or update data tables and figures, methods sections of manuscripts, reports, and other documents for presentation and/or publication.

  5. Take lead of the storage, tracking, internal review, and retrieval of information, documentation, and datasets for all assigned projects and projects of any subordinates.

  6. 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.

  7. 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.

  8. Carry out statistical analyses on issues via descriptive analyses, causal inference, predictive modeling, and other univariate and bivariate and multivariate analytic methods.

  9. 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

  10. 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)

  11. 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).

  12. 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.

  13. Implement and validate cutting-edge algorithms and new statistical methodologies to analyze diverse sources of data to answer research questions.

  14. Enhance data collection strategy and procedures for primary and secondary data sources, including recovered data sources such as scans and microfilms of paper archives.

  15. Conduct data collection/entry, management, cleaning, and manipulation activities.

  16. Creates Data Wokflow Processes.

  17. Ensure that appropriate variables are captured in the constructed databases.

  18. Format databases to allow merging of spreadsheets for statistical analyses and to optimize planned analyses

  19. Record Data into a format appropriate for processing.

  20. Apply statistical techniques to produce meaningful tables and graphs using appropriate software

  21. 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.

  22. Perform data analysis including cross-tabulation, descriptive analysis using standard statistical procedures, as well as model building (logistic regression, conditional logistic regression).

  23. Attend all lab meetings, lab check-ins, and other research-related meetings as requested by investigators or trainees.

  24. Report, either verbally and/or in writing, regular updates on the progress of their work to investigators.

REQUIREMENTS . The contractor must have:

  1. Doctorate degree in Biostatistics, epidemiology, statistics, or a closely related field

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

  3. Experience with: Scientific Data analysis, Statistical modelling, Algorithm development, Data visualization, Machine learning, Proficiency in using advanced statistical methods, Linear and non-linear regression

  4. 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

  5. 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])

  6. 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)

  7. Analyze studies using high-dimensional, longitudinal, clustered, multi-level, and repeated measures data

  8. Familiarity with Bayesian statistics and simulation modeling

  9. Experience in working with students or trainees in teaching data analytic skills

  10. 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

  11. Create variables as needed for analyses and document methods and definitions for all variables created (e.g., data dictionary)

  12. Expertise in performing statistical analyses using multiple statistical analysis software packages

  13. Excellent analytical, organizational, and time-management skills - A drive to learn and master new technologies, statistical methods, and techniques

  14. Experience conducting statistical analyses in electronic health records (EHR/EMR) and administrative claims

  15. Experience with Software: MPlus, SUDAAN, ArcGIS, R, SPSS, Python, SAS, STATA, C+ PLEASE APPLY ONLINE

When you apply, please know a Kelly Government Solutions Recruiter will review your resume and will contact you directly, if your skills and experience match the requirements of this position; a full can be made available at that time.

Due to the high volume of inquiries, we regret that we cannot accept phone calls. Even if you aren’t contacted for this position, you are still part of our talent network. All Kelly recruiters have access to your profile, which expands your opportunities even further.

As a specialty talent company, Kelly is committed to doing the right thing for our talent and clients. We stand up for equity, inclusion, fair treatment, and opportunity for all as these build the foundation of our Talent Promise. With a focus on safety, value, well-being, investment, and opportunity, Kelly’s Talent Promise confirms our commitment to those in search of a better way to work and live and to help discover what’s next.

It is obvious things are different than they were just a few months ago. Kelly is at the forefront of ensuring the safety of our employees in this new working environment. Be well and stay strong.

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As part of our promise to talent, Kelly supports those who work with us through a variety of benefits, perks, and work-related resources. Kelly offers eligible employees voluntary benefit plans including medical, dental, vision, telemedicine, term life, whole life, accident insurance, critical illness, a legal plan, and short-term disability. As a Kelly employee, you will have access to a retirement savings plan, service bonus and holiday pay plans (earn up to eight paid holidays per benefit year), and a transit spending account. In addition, employees are entitled to earn paid sick leave under the applicable state or local plan. Click here ( for more information on benefits and perks that may be available to you as a member of the Kelly Talent Community.


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