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Position: Data Science Lead
Institution: Bristol Myers Squibb
Location: Princeton, New Jersey, United States
Duties: Leading programmers and applying expert knowledge of SAS to integrate clinical data and pharmacokinetic data to prepare analysis datasets for pharmacometric analysis in NONMEM and other modeling tools; Implement sophisticated algorithms to derive complex data sets, and address data issues; Demonstrate very strong attention to quality and detail and the ability to detect data anomalies; Employ Spotfire visualization software, and optimize the effective utilization and benefits of Spotfire; Attain and apply solid knowledge of pharmacokinetics, pharmacodynamics, and other scientific areas to partner with experts in order to integrate data sources efficiently and effectively
Requirements: Bachelor’s degree in engineering, science, computer science, mathematics, or statistics; Excellent SAS programming language skills, especially the SAS DATA step and those PROCs necessary to manipulate data; At least four years experience in preparing SAS data sets for analysis; At least two years experience preparing SAS data sets for pharmacometric analysis in NONMEM, NLME, or WinNonLin; At least 5 years of industry experience in preparing SAS data sets for analysis
   
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