Location:

\nWashington, PENNSYLVANIA\n

Job Type:

\nFullTime\n

Deadline:

\n;\nPosting Details\n

I. DEPARTMENT INFORMATION

Job Description Summary:

The Department of Epidemiology at the Milken Institute School of Public Health at the George Washington University is seeking a Biostatistician II to analyze large electronic health record datasets for a National Institutes of Health (NIH)-funded prospective multi-site longitudinal cohort study, the DC Cohort. This study captures clinical data on persons with HIV or at risk of acquiring HIV and receiving outpatient care in Washington, DC at 14 clinical sites and has been operating since 2009 in partnership with numerous clinical providers in Washington, DC, the DC Department of Health, and the NIH. The individual will join the DC Cohort Analytic Group and work on data cleaning, validation, quality control, and analysis to generate insights that improve the health of people living with HIV, and will participate as a co-author in preparation of scientific manuscripts and presentations reporting study results.\nThe work involves analyzing complex longitudinal multi-site data and requires familiarity with statistical programming and advanced epidemiological regression methods such as survival analysis and multilevel models. Using a wide degree of creativity and latitude, the core responsibilities of this position are to make detailed observations, analyze data, and interpret results, with limited guidance from the Principal Investigator.\nResponsibilities include:\nParticipates as a member of a multi-disciplinary team of epidemiologists and clinicians to ensure high-quality deliverables are completed efficiently\nAdvises collaborators on epidemiologic study design and methods\nPrepares datasets for analysis and conducts data analysis using advanced epidemiological models and statistical procedures in SAS, including macros and arrays\nExtract, link, clean, code, and process datasets from multiple systems\nPerforms data inspection and cleaning in SAS, including recoding, harmonization, and missing data assessment\nEvaluate data quality, validity, and reliability\nDevelops detailed data analysis plans for addressing selected research questions\nCreates detailed documentation of analyses and analytic code\nUndertakes detailed review and checking of SAS code written by other colleagues\nContributes portions of abstracts, posters, reports, and manuscripts for major publications in leading public health and medical journals\nParticipates in general staff meetings or study-specific meetings as required\nPerforms other duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position\n

Minimum Qualifications:

Qualified candidates will hold a MS or MPH in Biostatistics, Statistics, Health Data Science, Epidemiology, or related field, plus 3 years of relevant experience. Relevant experience must be progressive Master's level or equivalent experience in Statistics, biostatistics, health data science, or related field. Degree must be conferred by the start date of the position.\n

Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications:

Preferred Qualifications:

Minimum 3 years of experience conducting statistical analyses of epidemiologic or clinical data, including development of analysis plans and preparation of analytic datasets, is desired\nAdvanced proficiency in SAS, including programming for data cleaning, dataset construction, quality assurance, and implementation of longitudinal and survival analyses, is preferred\nDemonstrated experience working with HIV-related data or in HIV research settings (e.g., cohort studies, clinical databases, surveillance systems) is desired\nExperience preparing data for analysis from complex, multi-source datasets (e.g., electronic health records, laboratory data, or survey data) is preferred\nStrong scientific writing skills are desired\nHiring Range $63,447.02 - $103,176.64\nGW Staff Approach to Pay How is pay for new employees determined at GW?\nHealthcare Benefits\nGW offers a comprehensive benefit package that includes medical, dental, vision, life & disability insurance, time off & leave, retirement savings, tuition, well-being and various voluntary benefits. For program details and eligibility, please visit hr.gwu/benefits-programs.\n

II. POSITION INFORMATION

Campus Location:

Foggy Bottom, Washington, D.C.\n

College/School/Department:

Milken Institute School of Public Health (SPH)\nFamily Research and Labs\nSub-Family Biostatistics\nStream Individual Contributor\nLevel Level 2\n

Full-Time/Part-Time:

Full-Time\n

Hours Per Week:

40\n

Work Schedule:

Monday -

Friday:

9:00am to 5:00pm\nWill this job require the employee to work on site? Yes\nEmployee Onsite Status Hybrid\n

Telework:

Yes\nRequired ground Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search\nSpecial Instructions to

Applicants:

Employer will not sponsor for employment Visa status\nInternal Applicants Only? No\n

Posting Number:

R002432\n

Job Open Date:

06/25/2026\n

Job Close Date:

ground Screening Successful Completion of a ground Screening will be required as a condition of hire.\n

EEO Statement:

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