What are the responsibilities and job description for the Biostatistician I position at George Washington University?
Posting Details
The Biostatistics Center is seeking a part-time Biostatistician I to work at a data coordinating center for clinical trials. A Biostatistician I participates as a member of a team of academic Biostatisticians and Epidemiologists who collaborate in the conduct of major clinical trials. Ability to utilize previous work experiences to work effectively with both creativity and latitude is expected for success in this role.
Duties most typically performed by the Biostatistician I include the following:
- Preparing datasets for analysis, and conducting data analysis using advanced statistical procedures using SAS under supervision of senior staff.
- Creating programming analyses related macros using SAS or R.
- Developing and maintaining reporting systems using SAS.
- Performing data management (auditing, editing & analysis) and quality control of study databases.
- Collaborating in the development of analytical plans for addressing selected research questions.
- Documenting any new processes and procedures created in the above tasks.
- Collaborating in the design of studies and with medical investigators to implement methods in collaboration with Center faculty.
- Participating in project development from beginning to end. Participating as a member of a multi-disciplinary team of programmers and researchers to ensure deliverables are completed efficiently.
- Contribute to portions of abstracts, posters, reports and manuscripts for major publications in leading health, medical and other journals and presentations of results.
- 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.
Qualified candidates will hold a MS or MPH in Statistics, Biostatistics, Epidemiology in a related discipline. Degree must be conferred by the start date of the position.
- Attention to detail
- Data analysis using advanced statistical procedures in biomedical applications
- Experience with SAS
- Experience with MS Office (Word, Excel, PowerPoint) preferred
- Strong written and verbal communication skills
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.