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approaches. You will partner with key stakeholders and colleagues in Clinical Pharmacology, Quantitative Systems Pharmacology, Statistics, Translational Modeling and Simulation, and other Research and
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, drugs, validation/qualification requirements. Knowledge of statistical software such as Minitab or JMP is desirable Knowledge of Six Sigma and Statistical Analysis principles Experience with data analysis
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of experience OR Masters Degree with 6+ years of experience OR PhD with 2+ years of experience • Degree preferably in engineering, economics, statistics, computer science, or related quantitative field
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, Chip-Seq, etc) and basic bioinformatic and statistical analysis. Experience with FACS-based pooled screening. Knowledge and experience with protein chemistry. PHYSICAL/MENTAL REQUIREMENTS Sitting
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teams and leadership updated on status QUALIFICATIONS BA/BS in Computer Science, Mathematics, Statistics, Engineering or similar related field required; MS or MBA preferred 10+ years of relevant
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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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such efforts Qualifications Must have: High School Diploma (or Equivalent) and 8 years of relevant experience OR an Associates degree in Statistics, Biotechnology, Chemical Engineering, Chemistry, or equivalent
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to protocol/study team for monitoring guidelines, statistics analysis plans, ICDs, clinical review forms, data edit checks, data quality planning, as needed (ultimately oversees work of protocol/study team
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on deliverables throughout the process Provide input for the design of the Statistical Analysis Plan (SAP) and the clinical data output Responsible for review of patient level data across a study and for
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thinking and confident decision-making in building Pfizer's PCT capabilities. Support the Head of GME in establishing a PCT CoE. REQUIRED QUALIFICATIONS Doctorate (Ph.D.) in Public Health, Statistics, Data