Job Family :
Medical Data Analyst & Researcher (Digital)
Travel Required :
None
Clearance Required :
Ability to Obtain Public Trust
What You Will Do :
We are currently searching for a Statistician Data Analyst a nd Programmer . This 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.
• 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.
• 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.
• Attend all lab meetings, lab check-ins, and other research-related meetings as requested by investigators or trainees.

#SOAR
What You Will Need :

• Doctorate degree in Biostatistics, epidemiology, statistics, or a closely related field
• A minimum of SIX (6) years of experience in Statistics and Decision Science, Computer Programming and Data Processing, Applied Mathematics, Management Information Systems and Statistics, and/or Mathematics and Computer Science
• Experience in Scientific Data analysis, Statistical modelling, Algorithm development, Data visualization, and Machine learning.
• 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).
• Experience with analyzing studies using high-dimensional, longitudinal, clustered, multi-level, and repeated measures data.
• Previous experience in cleaning, condensing, merging, and reformatting data into files that are appropriate for data analysis and data sharing, including preparing de-identified datasets and documentation for external users.
• Have created variables as needed for analyses and document methods and definitions for all variables created (e.g., data dictionary)
• Proficiency with MPlus, SUDAAN, ArcGIS, R, SPSS, Python, SAS, STATA, and/or C .

What Would Be Nice To Have :

• Applicants with publications in peer reviewed journals are preferred.
• Preferred candidates with health disparities research experience.
• A drive to learn and master new technologies, statistical methods, and techniques.
• Familiarity with Bayesian statistics and simulation modeling.
• Experience in working with students or trainees in teaching data analytic skills.

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.