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The initial focus of the role will be on small molecule drug discovery, including opportunities around predictive models and protein structure prediction. Knowledge of concepts related to drug discovery and development.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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In this leadership role, the machine learning research fellow will lead the development and application of machine learning and artificial intelligence across applications in global research, preclinical, and pharmaceutical sciences to improve, advance, and accelerate the discovery and development of transformative small molecule medicines, cell therapies, and genetic therapies.
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The Department of Pharmaceutical Sciences is a highly collaborative, research-active unit with faculty organized across four program concentrations: Pharmacognosy, Chemistry in Drug Discovery, Pharmaceutics and Drug Delivery, and Molecular Mechanisms and Therapeutics.
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This position offers a unique opportunity to work in a dynamic and innovative environment developing your career at the interface of mechanistic research, drug discovery, and preclinical drug development.
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They must be adept at applying these methods to large datasets for predictive modeling; in this context- drug properties and discovery patterns in ADME datasets. Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery.
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Project Oversight: Oversee the design, execution, and interpretation of DMPK studies to support drug discovery and development programs. In this critical role, you will be responsible for overseeing the development and implementation of DMPK strategies that support our drug discovery and development programs.
$265,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will be working closely with our CSO and Head of Biology to expand our portfolio of diseases and development of human stem cell screening platforms for drug discovery and characterization.
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As part of the Discovery Biotherapeutics efforts at BMS, the Principal Scientist will play a key role in advancing antibody drug conjugates technologies at BMS. The Discovery Biotherapeutics team at BMS seeks to understand the structure and function of complex molecules such as bispecific antibodies, antibody drug conjugates and endogenous proteins in order to optimize their utility as therapeutic agents.
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PhD. in computational biology, bioinformatics, or other biomedical sciences with a minimum of seven years’ experience in applying bioinformatics approaches to drug discovery/development, preferably in a biopharma setting.
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This start-up is truly a leader in deep learning & generative AI, merging cutting-edge models with biology research to accelerate disease treatment & drug discovery. This Lead will design and develop data model/ lakehouse and work alongside ML architects & scientists to scale data curation and pipelines for ML on a modern tech stack that enables the productization of unique phenotypic, target-agnostic drug discovery platforms.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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About HemaCare HemaCare, a Charles River company, is a global leader and trusted brand in the customization of human-derived biological products and services for biomedical research, drug discovery, and cell and gene therapy development.
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Position Summary: The Senior Technician in the Discovery Technologies In vivo pharmacology group will be part of a dynamic group of scientists conducting various research projects to identify large molecule/biologics which can effectively treat various forms of cancer.
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We are looking for a researcher with a strong understanding of ML theory and who is skilled in developing novel deep-learning approaches to drug discovery and development. Drug Discovery/Development experience developing new ML and deep learning approaches.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Chemical Biology and Proteomics (CBP) group at Biogen is seeking a creative and self-motivated Research Fellow to design, develop, and apply existing and new target identification strategies to various drug discovery programs.
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nih drug discovery jobs Title: post doctoral fellow Company: Emory University
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