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3)Manage multiple projects simultaneously and work cross-functionally with colleagues in the inflammation biology, protein engineering, chemistry, biomarker, bioinformatics, and clinical groups.
$143,225 - $185,350Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Monte Rosas QuEEN (Quantitative and Engineered Elimination of Neosubstrates) discovery engine combines AI-guided chemistry, diverse chemical libraries, structural biology, and proteomics to identify degradable protein targets and rationally design MGDs with unprecedented selectivity.
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Frontage Laboratories Inc. is an award winning, publicly listed (HKSE), full-service CRO/Contract Research Organization operating over 25 state-of-the-art laboratories across the US, Canada and China, and growing over 30% YOY. Our core competencies include drug metabolism, pharmacokinetics/ pharmacodynamics (PK/PD), safety and toxicology, bioanalytical services, chemistry and manufacturing controls for drug development, and core laboratory services for clinical trials.
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Experience performing and interpreting high quality in vitro ADME studies, including but not limited to, metabolic stability, permeability, protein binding, enzyme induction/inhibition, transporter assays and drug interaction assessments.
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Over 4000 products with various uses such as genetic identity, protein analysis, drug discovery, etc. - Bachelor of Science Degree in Organic Chemistry, Chemical Engineering, or related discipline required.
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Ph. D. preferred in Chemistry, Biochemistry, Bioengineering, or Pharmaceutical Sciences with a minimum of 5-8+ years in design and development of nanoparticle-based drug delivery systems or complex biologics.
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Design and execute deals around the company’s AI-driven drug design technology platform for the design of both small molecule drugs and protein therapeutics for all therapeutic areas including but not limited to neuroscience, infectious disease, autoimmune/immunology, oncology, aging, metabolism, etc.
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Reporting to the CSO, you will lead a team of drug discovery professionals in areas including: medicinal chemistry; DNencoded chemical library design, synthesis and screening; complex biologics (including antibody-drug conjugates, ADCs); oligonucleotides; analytical sciences; PKDM; protein sciences and structural biology.
$300,000 - $360,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Conduct experiments involving manual recording and computer-assisted quantification of mouse behaviors, alcohol vapor exposure, systemic drug administration, intracerebral injection of viral vectors, intracerebral implantation of optical fibers, blood collection, transcardial perfusion, and brain collection.
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Successful candidates will interface with members among all areas of the WCNDD, including those in molecular pharmacology, medicinal chemistry, drug metabolism and pharmacokinetics, and in vivo rodent pharmacology.
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Biochemistry and protein chemistry experience (flow cytometry, FACS, ELISA, western blotting, SDS-PAGE, etc.) Summary of Position The Research Associate II / Associate Scientist I position will support preclinical development of MacroGenics antibody-drug conjugates (ADC) through cell line engineering and molecular biology support.
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We explore molecules and targets broadly and deeply with a sophisticated integration of ultra-high throughput experimentation, generative AI, biology, medicinal chemistry, automation, and nanotechnology.
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Chemistry, pharmacology, and toxicology, to support drug discovery and development projects. We are seeking a highly motivated Junior Research Associate with a focus on Drug Metabolism and Pharmacokinetics (DMPK) to join our team.
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GenScript ProBio is the subsidiary of GenScript Biotech Corporation, proactively providing end-to-end CDMO service from drug discovery to commercialization with proactive strategies, professional solutions and efficient processes in cell and gene therapy (CGT), vaccine, biologics discovery and antibody protein drug to accelerate drug development for customers.
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This unique role bridges chemistry and biology, and focuses on the use of mass spectrometry-based affinity selection assays to drive the development of our macrocyclic peptide therapeutics. UNPs approach couples machine learning-based in silic o tools with massively parallel peptide chemistry to enable the discovery and rapid optimization of highly non-natural macrocyclic peptides aimed at extracellular targets, undruggable intracellular oncology targets, and beyond.
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