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pharmaceutical sciences, systems pharmacology, pharmacometrics, engineering, mathematics, physics or similar disciplines where modeling and simulation is emphasized. 2+ years of pharmaceutical industry or related
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of the Oncogenic Transcriptional Networks Group within the Cancer Cell Biology (CCB) Department. The candidate should have expertise in cell line engineering technologies, molecular and protein biology methods, and
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RESPONSIBILITIES Plan, execute and analyze in vivo pharmacology studies. Characterize new in vivo mouse models, including syngeneic genetically engineered and orthotopic mouse models to study biologic mechanisms and
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insights Planning and conducting medical analyses Prepare and maintain datasets for on-going analytical needs in collaboration with data engineers Flag data issues to data engineers and advice on required
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Plan, execute and analyze in vivo pharmacology studies Characterize new in vivo mouse models, including syngeneic tumor and genetically engineered mouse (GEM) models, to study biologic mechanisms and
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of laboratory operations including mass spec technology evaluation, proteomic software evaluation, development of quantitative sample preparation methods and peptide separation methods, data analysis and