Description
Biostatistician
Buffalo, New York
Buffalo, New York is on the eastern shore of Lake Erie, just south of Niagara Falls. Buffalo is home to two professional sports teams - the Buffalo Bills and Buffalo Sabres - and a thriving and progressive music and arts scene. Most famously, the Buffalo wing was invented in 1964 at the Anchor Bar in Buffalo. Whether you are looking to relocate or are a current resident, job opportunities in Buffalo are abundant.
On Time Talent Solutions is seeking an experienced Biostatistician to be a key member of the clinical study team - responsible for the development of statistical analyses contributing to clinical studies. Ideal candidates will provide leadership and guidance on designing studies, statistical methods, analyses, interpretation, and reporting of the clinical study results.
Biostatistician Responsibilities:
Provide statistical support for clinical studies, including protocol development, study design, and data analysis and presentation for regulatory submissions, as well as for publication and presentation activities.
Participate in the development of study protocols, including refinement of the study objectives and endpoints
Create statistical and strategic input in the writing of Statistical Analysis Plans (SAPs)
Design and perform quality checks on analysis datasets, tables, listings, figures (TFL), and written reports to support clinical trial results using SAS
Facilitate the development and application of adequate statistical methods in clinical research
Provide statistical support for regulatory submissions; including statistical methods table and graph shells and statistical programming specifications, analyses and data presentation, interpretation of results, and report writing
Biostatistician Qualifications:
PhD or MSc in Biostatistics, Statistics or Mathematics, or a related field
3+ years of SAP development required
3+ years of CRF review required
Experience with observational studies and meta-analyses
A minimum of 3 years of experience in clinical/epidemiological research, biostatistics or applied statistics, clinical research and/or data management, required
Strong applied statistical skills including: Bayesian methods, group sequential methods, survival analysis, regression modeling, longitudinal analysis (including mixed models), data mining, missing data strategies, and multiple testing strategies
