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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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Our Client's global life sciences practice, one of the largest in the U.S., is seeking a regulatory counsel with at least 10+ years of industry experience in drug/biologics development to join our FDA regulatory group.
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Strong experience in data engineering, including data pipeline development, ETL/ELT processes, and data modeling. Provide support to the development team with managing multiple instances of databases and servers, implementing complex queries with proper tuning, provide input to design impacting data, manage data infrastructure in Azure (DataLake, DataWarehouse and Synapse.
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In this key role, you'll lead the development and production of high-quality media and cell therapy intermediates, as well as drug products, to support our Cell and Gene Therapy projects.
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Effective collaboration with the ML Engineering and AI Research team by providing key medicinal chemistry insights to aid in the development of AI/ML models for drug discovery. Effective collaboration with computational chemists in virtual screening campaigns to rapidly identify drug candidates for further development.
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You have experience with high volume drug development data (OMICs, chemical structures, etc. Perform exploratory analysis using data science techniques on structured and unstructured datasets and develop algorithms for early drug discovery efforts.
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Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Provides oversight of case processing activities for the Xenon clinical development program and serves as safety data management subject matter expert (SME) on regulations and best practices for conventions and handling of safety data in Xenon’s global safety database (GSDB.
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Our group utilizes innovative genomic technologies (i.e., pooled, and arrayed CRISPR screening, Optical Pooled Screening, Spatial Tx), and multi-omics approaches such as Perturb-Seq to impact all stages of the drug development pipeline from pre-clinical to clinical development.
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Strong scientific knowledge and understanding of product development with relevance to pharmaceutical manufacturing including API chemical synthesis, drug product manufacturing, and packaging.
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Deep understanding of drug development, study conduct processes, GCP and regulations related clinical data management as well as ICH guidelines, FDA/EU regulations. Develop data management SOPs and processes that align and address business priorities; Contribute to cross-functional SOP development.
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20+ years pharmaceutical drug development experience including as a project team representative and due diligence activity. Provide scientific direction and pathology expertise to project specific IHC, ISH and spatial endpoints in collaboration with the DSRE Investigative Pathology and Toxicology labs, DMPK, and Drug Discovery Unit translational pathology groups.
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Development, optimization, qualification, transfer, validation, and routine execution of analytical methods for proteins, mAbs, drug conjugates using techniques pertinent to LC (SEC, RP, IEX), LCMS, ELISA, CE-SDS, icIEF, and other wet chemistry techniques.
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We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform as we reinvent drug discovery and development from the ground up.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. We are looking for a Senior Quantitative Developer that will be a part of a dynamic and fast-paced development team within Quantitative Research and Investment Technology supporting Fidelity Asset Management Solutions (FAMS) researchers and analysts.
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data drug development jobs Title: president in Boston, MA
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