Classified Title: Biostatistician Working Title: Biostatistician Role/Level/Range: ACRP/04/MD 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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