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Platform, we aim to minimize risks in drug development, accelerate the drug discovery process, with protein designers, biologists, and other members of the drug discovery team.
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Areas of expertise include genomics, epigenetics, drug resistance, stem cell biology, drug discovery, diagnostics and biomarker development, and pharmacology. The Center for Discovery and Innovation (CDI), was established by Hackensack Meridian Health (HMH) as an academic basic and translational research enterprise to rapidly translate science innovation to the clinic to improve outcomes for patients with cancer, infectious diseases, autoimmune disease and other acute and chronic diseases.
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Qualifications, Skills and Experience:The VP of Computational Drug Discovery and Data Science will be a highly accomplished individual with a passion for innovation and a drive to implement ideas to help lead the companys platform development and drug discovery programs.
$270,000 - $366,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in medicinal chemistry principles, cheminformatics, ADME, ML/AI and structure-based drug discovery. Expert proficiency in one or more commercial drug discovery platform such as ICM, Schrodinger, CCG and/or OpenEye.
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Principal Scientist - Global Drug Discovery. Global Discovery and Development Sciences (GDDS) Boston,part of the US R&D hub, is building a new siRNA NonclinicalDevelopment department with cross-functional scientificexpertise, including toxicology, safety pharmacology, PKPD,ADME, outsourcing management, and non-clinical projectmanagement.
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Expert proficiency in one or more commercial drug discovery platform such as ICM, Schrödinger, CCG and/or OpenEye. This vital Computer-Aided Drug Discovery (CADD) role, located at our San Diego, CA site, will join our talented and innovative drug discovery team.
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1+ year of experience applying computational methods to drug discovery and small molecule design as a member of therapeutic project teams. Keep abreast of scientific developments and interact with internal and external scientists to integrate novel insights into computational approaches for drug discovery.
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Initiate drug discovery efforts by proposing novel targets / modalities, evaluating target druggability and executing in silico hit generation, triage and expansion methodologies. Drive compound optimization cycles by participation in rational drug design and synthesis prioritization efforts via advanced scoring methods (active learning and ML model development, free-energy perturbation or alternate scoring method), in multi-objective fashion.
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BIOVIA is looking for a motivated Machine Learning Engineer – Drug Discovery to join our Discovery Studio team in San Diego, CA, or Waltham, MA in an onsite/hybrid role. Experience in the development of computational tools for drug design.
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Serve as a leader supporting the overall CPP and/or translational medicine organizational objectives Stay current with scientific advancements and regulatory trends in clinical pharmacology and Pharmacometrics, and apply the knowledge to advance drug discovery and development for the organization; Publish in peer reviewed journals.
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This individual will be responsible for driving product and application-based messaging across Twist’s business units, including core initiatives toward cancer research, drug discovery, and human genetics.
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The Cancer Immunology (CI) Lead is responsible for leading cancer immunology drug discovery programs (comprising tumor immunity, T cell biology, ADC immunology and innate immunity) to support the execution and diversification of the Oncology Research and Development (ORD) IND pipeline.
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Design and conduct experiments to support new target validation, analysis and interpretation of results, with focus on in vitro and retinal in vivo assays/models to support discovery and translational drug development programs.
$104,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Drug Hunting Focus: The candidate is expected to exhibit strong problem-solving abilities and be familiar with understanding and resolving issues that lie at the interface of peptide discovery, peptide engineering, pharmaceutical developability and formulation, and biology.
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The incumbent will be responsible for drug screening, cell-based assay development, and biomarker discovery. drug screening as well as understanding molecular pathways (Proliferation, Apoptosis, Flow.
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