Associate Principal Scientist, Statistical Programming

About this role

<p style="text-align:left"><b>Job Description</b></p><p style="text-align:inherit"></p><p><b><u>Associate Principal Scientist, Statistical Programming – Rahway, NJ:</u></b> </p><ul><li><p>Provide high quality statistical programming analysis and reporting deliverables for global PK modeling and simulation stakeholders Oncology therapeutic area.</p></li><li><p>Gather and interpret user requirements, retrieve the required data, transform the data into modeling-ready analysis datasets, and develop tables and figures according to the modeling analysis plans.</p></li><li><p>Lead the data stewardship and take accountability for the creation of modeling data from original data source(s) to final modeling dataset.</p></li><li><p>Act as a key collaborator with modelers, statisticians and other project stakeholders and execute project plans efficiently and oversee the work of other team members when opportunities arise.</p></li><li><p>Programmatically synthesize preclinical / clinical data into analysis ready structures from varied data sources.</p></li><li><p>Create modeling-ready datasets by integrating PK, PD and covariate data.</p></li><li><p>Produce tables and graphics for inclusion in study reports and regulatory submissions.</p></li><li><p>Ensure programmatic traceability from data source to modeling result.</p></li><li><p>Support the development of programming standards to enable efficient and high quality production of programming deliverables.</p></li><li><p>Produce SAS transport files and associated documentation for regulatory submissions.</p></li><li><p>Represent statistical programming on process improvement activities.</p></li></ul><p></p><p><b>Education Requirements:</b></p><ul><li><p>Must have a Bachelor’s degree (or US equivalent) in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering, Pharmaceutical Sciences, or related field plus 9 years SAS programming experience in a clinical trial environment</p></li></ul><p>OR</p><ul><li><p>Ma

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