Starting Salary Range: $68,000 - $80,000 (commensurate with experience)
Employee group: Full Time
Schedule: 37.5 M-F
Exempt Status: Exempt
Location: 05-MD:School of Public Health
Department name: 10001101-Epidemiology
Personnel area: School of Public Health
The Biostatistician will perform statistical analyses for preliminary analysis, publications, presentations and grant submissions; provide statistical consultation for PI, co-investigators and other staff; oversee data management activities, including completion of data selection, collection, entry, error reports, editing, cleaning, analyses, etc.
- Design strategies, analyses & data code books.
- Attend regular team meetings.
- Present and disseminate data for analyses.
- Prepare analyses plans, write details specs for analysis files.
- Interpret analyses and write statistical sections of reports, manuscripts and grants.
- Performs analyses on large, complex datasets and documents analyses using STATA, R, SAS and SPSS.
- Provides research design guidance to study investigators and consultants, as well as make recommendations on data collection procedures and database structures.
- Provide preliminary and interim analyses of data.
- Oversees and performs constructions of datasets, variables and data cleaning.
- Make suggestions or provide solutions to problems related to data management and statistical analyses.
- Produce tables and graphs in publication-quality format.
- Present results in various meetings, and to senior investigators and other colleagues.
- Provide computing and analysis support to other faculty and graduate students.
- Write and execute programs for data management activities and data analyses.
- Participate in writing statistical plans for grants, etc.
- Master’s Degree in Biostatistics, Epidemiology ore related quantitative field.
- One year of experience
- Fluent in Korean (initial dataset is Korean Health Study database)
Special knowledge, skills, and abilities:
- Knowledge of STATA, R, SAS, SPSS, Access, Excel, MS Word.
- Experience in statistical analyses, database management, and data analysis (including longitudinal analysis).
The successful candidate(s) for this position will be subject to a pre-employment background check.
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