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Statistician

Apply now Job no: 496429
Work type: Full-Time
Location: University City - Philadelphia, PA
Categories: Drexel University, Dornsife School of Public Health

About Drexel

Drexel is a comprehensive global research university ranked among the top 100 in the nation. With over 24,000 students, Drexel is one of America's 15 largest private universities. Drexel is one of Philadelphia's top 10 private employers, and a major engine for economic development in the region. Drexel has committed to being the nation’s most civically engaged university, with community partnerships integrated into every aspect of service and academics.

Job Summary

The Drexel University Dornsife School of Public Health invites applications for an experienced biostatistician to join the growing Biostatistics Scientific Collaboration Core (BSC) in the Department of Epidemiology and Biostatistics. The position requires a highly motivated, detail-oriented and organized individual who will participate in all aspects of biostatistics collaboration including study design/grant proposals, data preparation with careful documentation, data analysis, and dissemination via participation in the development of manuscripts and presentations. Since the type of biostatistical work performed in BSC is project-dependent, the candidate should have experience utilizing a wide range of biostatistical methods (e.g. mixed models, survival, logistic) on a range of data types (e.g. survey, clinical trial, observational study with one or more time points) and, in collaboration with a faculty biostatistician, be willing to learn new methodology and application areas as projects require. The ideal candidate will be able to work independently with minimal guidance, work effectively as a team member, think critically about entrusted projects, and communicate methods and results to statistical and non-statistical audiences.

Essential Functions

  • Develop study design and analysis sections for grant proposals in collaboration with faculty biostatistician and grant PIs. 
  • Lead, coordinate and implement various activities for data cleaning, data quality, variable creation and harmonization assessment for various data sources.
  • Compilation, harmonization and linkage of multiple datasets from various data sources. 
  • Develop and maintain detailed documentation for data cleaning, linkage, storage, and analyses of study data. 
  • Implement statistical analysis plans developed in coordination with faculty biostatistician.
  • Collaborate in preparation of abstracts and manuscripts for peer-reviewed journals.

Required Qualifications

  • A Masters Degree (or higher) in Biostatistics, Statistics or related field is required.
  • At least 3 years of data management and data analysis experience in a multidisciplinary collaborative setting.
  • Extensive knowledge of programming in SAS
  • Expert data compilation and data management skills
  • Expert statistical knowledge that includes longitudinal analyses
  • Extensive experience working with complex data linkages across multiple databases
  • Experience collaborating with large interdisciplinary teams of faculty, trainees, and other staff across multiple disciplines
  • Strong written and oral English communication
  • Organized and attentive to detail
  • Experience working with confidential data and data protected under licensing or other restricted data use agreements

Preferred Qualifications

  • Experience with other software packages including R, ArcGIS
  • Experience with databases including REDCap
  • Experience working complex databases such as disease registries, electronic health records, or other large databases
  • Five years or more of data management and data analysis experience in a multidisciplinary collaborative setting

Location

  • University City.

Additional Information

Special Instructions to the Applicant

  • Please make sure you upload your CV/resume and cover letter when submitting your application.

Advertised: Eastern Standard Time
Applications close: Eastern Standard Time

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Position Type

Work type

Locations

Philadelphia

Categories

Division / College
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