Statistical analysis of research data for publications, grant proposals, regulatory reports, and presentations in collaboration with investigators; Facilitate the preparation of conference abstracts, development of manuscripts for publication, and preparation of grant proposals; Assist PI with troubleshooting by running analyses, cleaning and preparing datasets; Ensure quality and integrity of data collection, maintenance, and reporting through regular analysis, cleaning, and audits to ensure that the data collected are complete and accurate; Oversee database enhancement projects, working collaboratively with research staff, PIs, software developers, and data scientists
Requirements:
Graduate level training in biostatistics, statistics, epidemiology, population health sciences, public health, medicine or related field is required; Completed graduate training at Master's level or beyond is required; Experience (1+ years) in various techniques of data analysis and data management, including longitudinal data analysis, is required; Consideration will be given to length of previous employment in comparable or related positions, in particular productivity and experience working on research grants and scientific publications; Experience in analyzing genetic data and large datasets is preferred but not required; Computing skills using R, Python, SQL, SAS, STATA and other standard software
Text:
Biostatistician Statistical analysis of research data for publications, grant proposals, regulatory reports, and presentations in collaboration with investigators; Facilitate the preparation of conference abstracts, development of manuscripts for publication, and preparation of grant proposals; Assist PI with troubleshooting by running analyses, cleaning and preparing datasets; Ensure quality and integrity of data collection, maintenance, and reporting through regular analysis, cleaning, and audits to ensure that the data collected are complete and accurate; Oversee database enhancement projects, working collaboratively with research staff, PIs, software developers, and data scientists Graduate level training in biostatistics, statistics, epidemiology, population health sciences, public health, medicine or related field is required; Completed graduate training at Master's level or beyond is required; Experience (1+ years) in various techniques of data analysis and data management, including longitudinal data analysis, is required; Consideration will be given to length of previous employment in comparable or related positions, in particular productivity and experience working on research grants and scientific publications; Experience in analyzing genetic data and large datasets is preferred but not required; Computing skills using R, Python, SQL, SAS, STATA and other standard software
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