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therefore expected that the candidate will have deep expertise in computational and data science methods, but also be able to bridge that knowledge to fundamental questions of biology and clinical impact
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and scalable Active Pharmaceutical Ingredient (API) crystallization processes for use at manufacturing plants across Pfizer's network. You will apply chemical engineering principles, computational
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Engineering or related Mechatronics discipline (or within 6 months of completing a program) or an B.S. with 3+ years' experience in a related field. No industrial experience necessary. Experience with robotic
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advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply
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+ years of experience • Degree preferably in engineering, economics, statistics, computer science, or related quantitative field. • Preferred experience in Applied Econometrics, Statistics, Data Mining
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impact of the group. Qualifications Ph.D. in Chemical Engineering, Organic Chemistry or Mechatronic Engineering related discipline (or within 6 months of completing a program) or an Msc with 3+ years
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of other colleagues to achieve meaningful outcomes and create business impact. Degree in Computer Sciences, Statistics, Clinical Informatics or similar Relevant certification &/or work experience in data
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ensures successful global program implementation through oversight and review of the global program design including the clinical development plan or lifecycle strategy. The clinician medical monitor
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Demonstrated laboratory and computational experience in reaction engineering topics Working k nowledge of c rystallization development Working k nowledge of Design of Experiment ( D O E ) studies and statistical
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advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply