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Your cross-disciplinary colleagues from Computational Chemistry, Medicinal Chemistry, Computational Biology, Cell Biology, and Pharmacology, how AI/ML can solve important problems for them.
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For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions. PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics.
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We're looking for a medicinal chemist to drive our drug discovery projects, who is also excited about partnering with machine learning scientists and software developers to advance our computational platforms that accelerate compound design and synthesis.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Experience developing/applying computational biology and machine learning tools. You are an innovative scientist with computational biology expertise and interest in the development of new therapeutics for neurobiology applications.
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Collaboration: Collaborate closely with cross-functional teams, including bioinformatics, medicinal chemistry, biology, and machine learning, to integrate computational biology approaches into drug discovery projects.
$200,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Quantitative and computational skills (e.g. Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, or Data Science for Health.
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PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
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PhD degree in computational biology, bioinformatics, or a related field. Translational Computational Biology: Bridge the gap between target discovery and clinical applications, translating molecular insights into innovative therapeutic strategies.
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Broad understanding of modern data science methods, particularly machine learning, in advancing drug discovery (e.g., predictive modeling, generative modeling, retrosynthesis prediction, active learning, explainable ML.
$184,800 - $290,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD or MSc in computational biophysics, computational chemistry, chemical engineering, computer science, machine learning or related field. Development and implementation of advanced data analytics and state-of-the-art machine learning models to generate insights from proteomics (ABPP) data, protein structure, and protein dynamics to enhance target prioritization and structure-based drug design efforts.
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The lab utilizes novel animal models of disease, chemical probes and reporter systems, as well as computational biology and bioinformatic techniques for analyzing large datasets from human clinical databases.
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Teach weekly in person workshop/journal club to our biostatistics and computational biology collaborative. with a focus on, or willingness to learn computational biology. interest in computational biology.
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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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PhD, MS, or equivalent in computational biology, genomics, biology or related discipline. CK Group are seeking a highly skilled and motivated Senior Computational Biologist to join our clients research team in our mission to serve patients with intractable cancers.
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machine learning computational biology jobs Title: associate in Boston, Fernley, Nevada
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