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to design, guide, conduct statistical analysis, and interpret multi-omics datasets including proteomics, NGS, and chemical biology data in the context of drug discovery projects. Contribute to the development
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the globe. How You Will Achieve It Identify data, analyzing results using statistical techniques to interpret trends or patterns. Acquire data from primary or secondary data sources (EAMS, WPM, BMS, etc.) and
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(director/Sr director) provides clinical input to protocol/study team for monitoring guidelines, statistics analysis plans, ICDs, clinical review forms, data edit checks, data quality planning, as needed
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across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data
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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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communication skills Nice-to-Have Experience with tangential flow filtration Statistical software use, such as JMP Experience with GMP manufacturing Familiarity with CMC team function Experience with technology
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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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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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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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, 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