Biostatistician II

George Washington University, United States

Updated: 3 months ago
Location: Washington, PENNSYLVANIA
Job Type: FullTime
Deadline: ;

Posting Details
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 assist the department in conducting an NIH funded prospective multi-site longitudinal cohort study, the DC Cohort. This study captures clinical information on persons with HIV receiving outpatient HIV in 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 National Institutes of Health. The Biostatistician will join the DC Cohort Analytic Group and will work on various analyses as they relate to the DC Cohort, including being the lead biostatistician for the NA-ACCORD study, a nationally representative database of HIV cohorts in North America. This biostatistician position will be filled by someone who can provide statistical design expertise, data management, and data analyses to answer hypothesis driven epidemiological analyses and will participate as a co-author in preparation of scientific manuscripts and presentations reporting study results.
The work involves analyzing a complex longitudinal multisite dataset and familiarity with both cross-sectional and longitudinal analyses (e.g., Kaplan Meier, Cox, Survival Analyses, etc.), will be necessary. 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.
Responsibilities Include:
  • Leads the creation of the de-identified SAS datasets for depositing in the NA-ACCORD data repository.
  • Prepares datasets for analysis and conducts data analysis using advanced statistical procedures using SAS. Creates programming analysis related macros using SAS.
  • Develops and maintains reporting systems using SAS.
  • Performs data analysis using advanced statistical procedures using statistical software (SAS and R) under supervision of senior statisticians.
  • Performs data management (auditing, editing & analysis) and quality control of study databases.
  • Collaborates in the development of analytical plans for addressing selected research questions.
  • Documents all new processes and procedures created in the above tasks.
  • Collaborates in the design of studies and with medical investigators to implement methods in collaboration with DC Cohort Analytics Group.
  • Participates in project development from beginning to end. Participates as a member of a multi-disciplinary team of programmers and researchers to ensure deliverables are completed efficiently.
  • Contributes portions of abstracts, posters, reports and manuscripts for major publications in leading health, medical and other journals and presentations of results.
  • Participates in general staff meetings or study-specific meetings as required. Communicates with the Biostatistics Center staff and epidemiology team as needed.
  • Performs other duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position.
Minimum Qualifications:

Qualified candidates will hold an MS or MPH degree in Statistics, Biostatistics, Epidemiology, or related field, plus 3 years of relevant experience. Relevant experience must be progressive Master’s level or equivalent experience in Statistics, biostatistics, or epidemiology. Degree must be conferred by the start date of the position.
Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications:
Preferred Qualifications:
  • 3 years of experience with statistical programming using SAS
  • Experience or training in analyzing longitudinal datasets
  • Evidence of strong scientific writing skills
  • Moderate or stronger knowledge of multi-variable regression modeling (linear, logistic) and moderate knowledge of structural equation modeling or propensity score matching
  • Prior experience in HIV epidemiology
  • Excellent oral communication
  • Evidence of ability to work both independently and with a team, and to manage time across multiple projects.
Typical Hiring Range $73,510.14 - $107,354.49

II. POSITION INFORMATION


Campus Location: Foggy Bottom, Washington, D.C.
College/School/Department: Milken Institute School of Public Health (SPH)
Family Research and Labs
Sub-Family Biostatistics
Stream Individual Contributor
Level Level 2
Full-Time/Part-Time: Full time -> FTE 1.00
Hours Per Week: 40 Hours
Work Schedule: Monday-Friday, 9am-5pm
Will this job require the employee to work on site? Yes
Employee Onsite Status Hybrid
Telework: No
Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search
Special Instructions to Applicants:
Employer will not sponsor for employment Visa status
Internal Applicants Only? No
Posting Number: R001993
Job Open Date: 08/04/2023
Job Close Date:
If temporary, grant funded or limited term appointment, position funded until:
Background Screening Successful Completion of a Background Screening will be required as a condition of hire.
EEO Statement:

The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.

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