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Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics.
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Work with research informatics and data teams to deploy enterprise-level cheminformatics and machine learning solutions across the discovery and medicinal chemistry groups.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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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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This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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With humility, we are committed to ongoing learning and understanding as we embark on our own racial equity journey. You bring a deep, demonstrated commitment to advancing Diversity, Belonging, Inclusion, and Equity in your workplace and community.
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Lead the Data engineering Team to Develop, test, document and support scalable data pipelines. Prefer an academic background in Computer Science, Mathematics, Statistics, or related technical field.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Commitment to social justice, equity, and inclusion, with a passion for empowering marginalized communities. Our mission is to strengthen and uplift the Margaret Fuller community by providing essential resources, fostering connections, and promoting equity and social justice.
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MS or Ph. D. in computational biology, chemical engineering, data-science, operations research, applied mathematics, or other relevant fields. Understanding unit operations and fundamental engineering principles of mass transfer, heat transfer, and reaction kinetics is a plus.
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Collaborate with the Director of Diversity, Equity, & Inclusion to keep multiculturalism and diversity as a priority of curricular work and curriculum development Ensure that respect for diversity, equity, and inclusion, social emotional learning, and academic excellence are emphasized as core values of The Park School.
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Deep understanding of industrial drug discovery including understanding the role of AI, machine learning and other computational approaches at scale to transform drug discovery. Strong exposure (either professionally or through personal curiosity and independent study) to advanced computational approaches (including AI and machine learning) is required.
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Implementing and evolving our educational approach, which is rooted in social-emotional learning, STEAM (science, technology, engineering, art, and mathematics) curriculum, and nature-based learning.
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Apply cutting-edge generative AI, machine learning and molecular modeling techniques to help identify novel binders and/or enhance the properties of biologics-based drugs, including target engagement, developability, immunogenicity, and protease specificity.
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Embody Dana-Farber’s Core Values: Impact; Excellence; Compassion & Respect; Discovery; and Equity and Inclusion every day. Philanthropy raised through The Dana-Farber Campaign is focused on accelerating the Institute’s strategic priorities by supporting revolutionary science, extraordinary care, exceptional expertise, and essential opportunities—helping us prevent, treat, and Defy Cancer.
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Qualification RequirementsEducational/Training Requirement: Bachelor’s degree in one of the following disciplines is required: Forge Engineering, Mechanical Engineering, Materials Science Engineering, Manufacturing Engineering, Industrial Engineering or Chemical Engineering.
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machine learning computer science engineering equity and inclusion jobs Title: engineering in Lexington, MA
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