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-based curation interfaces developed at Baylor College of Medicine and Stanford University. This position will specifically focus on genes related to hereditary cancer. This position is all web-based
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of chemical engineering principles including; reaction kinetics, chemical thermodynamics, heat and mass transport, engineering statistics, reactor design. Strong attention to detail in experimentation and
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with tangential flow filtration Statistical software use, such as JMP Experience with GMP manufacturing Familiarity with CMC team function Experience with technology transfer to manufacturing Work
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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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with 3+ years experience or MA/MS with 0+ years related experience required. Experience working with MatLab, preferably working with image processing, signal processing, statistics or data/image
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visualization / insights generation from data is easily accessible and understandable for users BASIC QUALFICATIONS Degree in Data Sciences , or Computer Sciences, Statistics, Clinical Informatics or similar
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critical path experiments in alignment with team objectives Uses critical thinking to solve complex problems, address challenges and overcome obstacles Understanding of appropriate statistical design and
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set-up. Proactively coordinate with Clinical Scientists and Lead Clinician to assure understanding and agreement on deliverables throughout the process Provide input for the design of the Statistical
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-solving, risk analysis and statistical tools. Experienced in regulatory dossier compilation and developing CMC responses. Experience in supporting scale-up and technology transfer to pilot or commercial