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Valo is seeking an experienced Director of Engineering to lead our efforts for our computational platform for drug discovery. 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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Strong subject matter expertise in immune-oncology, cell therapy drug discovery and development including CMC considerations, CAR design, engineering and armoring strategies, innate immune cells such as NK and gamma delta for the purposes of leading drug development projects from start to the clinic.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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We have developed a drug-discovery platform that integrates computational chemistry, structural biology, chemical biology, target-informed screening, and mechanism-driven pharmacology to develop small-molecule therapeutics that specifically modulate ferroptosis.
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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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Summarize and communicate results to project teams (biochemistry, mass spectrometry, biology, medicinal chemistry), provide intellectual input, and contribute to decision-making in early drug discovery.
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Ph. D. candidate at a top university in chemical engineering, physics, chemistry, materials science, or a related field. Strong focus is placed on development and application of computational and machine-learning methods for understanding and automated discovery of next-generation materials, including for electrochemistry, energy conversion, sensors, and sustainability.
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Experience in cancer biology, working in oncology drug discovery project teams, cancer cell-based assay design, assay development and drug testing. Contribute to target validation to ensure the development of a robust preclinical pipeline of impactful drug discovery programs.
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Dyne is seeking a talented and highly motivated Scientist in analytical chemistry/biochemistry to advance our therapeutics research and support our drug discovery programs. Experience in providing scientific and technical leadership applied to novel assay development, advancing challenging drug discovery programs, and mentoring junior colleagues.
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The Department of Chemical Engineering seeks applications for open-rank (Assistant, Associate, or Full Professor), interdisciplinary faculty candidates with research interests focused within the food, water, energy nexus.
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Our data science team is an integrated team ranging from computational biology, bioinformatics, computational drug discovery, research informatics and data engineering. This position is a Senior Scientist, Machine Learning reporting to the AD of Machine Learning, in Computational Drug Discovery at Fog. We are seeking highly talented and motivated people to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Fog's platform discovery engine for HeliconTM stapled-peptide drugs.
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The position involves collaboration with protein science, in-vivo biology, single-cell sequencing, bioinformatics, translational and clinical teams to execute and advance HiFiBiO's drug discovery and translational research.
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This role will be at the forefront of developing and applying computational methods for drug discovery using Tempus’ large clinico-genomic database, as well as functional and molecular assays - single cell, spatial, and functional genomics - applied to patient-derived organoids.
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Acting as a technical expert: deliver, maintain, and extend smart innovative data engineering solutions for a wide variety of drug discovery data pipelines – enabling UCB to exploit complex data (internal and public.
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chemical engineering drug discovery jobs Title: associate scientist in Boston, MA
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