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:</u></b></p><ul><li>Provide high quality statistical programming analysis and reporting deliverables for global PK modeling and simulation stakeholders Oncology therapeutic area.</li><li>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.</li><li>Lead the data stewardship and take accountability for the creation of modeling data from original data source(s) to final modeling dataset.</li><li>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.</li><li>Programmatically synthesize preclinical / clinical data into analysis ready structures from varied data sources.</li><li>Create modeling-ready datasets by integrating PK, PD and covariate data. Produce tables and graphics for inclusion in study reports and regulatory submissions.</li><li>Ensure programmatic traceability from data source to modeling result.</li><li>Support the development of programming standards to enable efficient and high-quality production of programming deliverables.</li><li>Produce SAS transport files and associated documentation for regulatory submissions. Represent statistical programming on process improvement activities.</li></ul><p></p><p><b><u>Educational Requirement</u></b></p><ul><li>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 OR a</li><li>Master’s degree (or US equivalent) in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering, Pharmace

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