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By joining us, you’ll learn a lot about deploying clinically sound AI features, chatbot architectures, serverless cloud deployments, agile software development and best-in-class development practices.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
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PostEra is using machine learning, applied to medicinal chemistry, in order to expedite the discovery of new drugs and get new cures to patients faster. Experience working across the web development stack, including infrastructure tooling like AWS, terraform, Docker, etc.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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Advance enabling technologies to accelerate pharmaceutical development and to improve sustainability and process efficiency, including advances in biocatalysis, high-throughput technology, flow chemistry, and AI/machine learning.
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Development of scalable solutions and new capabilities for the next generation of data labeling to support machine learning development. Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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The ideal candidate will have a proven track record of leading and inspiring diverse teams, a keen interest in collaborating with in vivo scientists to generate high quality preclinical data, a passion for learning, strong communication and organizational skills, and a comprehensive understanding of the use of animal models in biopharmaceutical Research & Development.
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Collaborate effectively with renowned GSK experts in genetics, genomics, computational bio & chem, structural biology and medicinal chemistry, artificial intelligence / machine learning, and digital technologies to build the datasets, tools, models, and infrastructure necessary for oligo design & development.
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As a member of the subject specialist and liaison team within the Research & Learning division, the Communications Librarian is part of a dynamic team of librarians providing research support to the Boston University community through inter-connected efforts around collection development and instruction and consultation.
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The candidate will serve as a full-time Clinical Research Coordinator (CRC) in the Mass General Early Brain Development Initiative (EBDI), and will report to Dr. Joshua Roffman, director of EBDI, and Dr. Alysa Doyle, director of research at the MGH Learning and Emotional Assessment Program.
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Work cross-functionally with Machine Learning, Protein Sciences and Preclinical Discovery and Development groups to design proteins tailored for specific therapeutic programs. The successful candidate will work with the Machine Learning, Protein Sciences and Preclinical Discovery and Development groups at Generate:Biomedicines to develop, analyze and apply protein design protocols toward specific design objectives, incorporating both existing and new methods and models.
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Reports To: Principal/Head of School Responsibilities Teach: Elementary General Curriculum in a setting inclusive of students with Special Needs and English Language Learners (SEI) Implement district learning goals and objectives, in alignment with state frameworks, having familiarity in identifying access points for student portfolio development.
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In collaboration with our Internal Comms and Marketing teams, build an internal/external communications, branding, and marketing strategy in support of the overall GIDE frameworkDrive the overall strategy and execution of the diversity goals for the global enterpriseDefine diverse talent strategy that considers individual learning, development, attraction, engagement, and mobility focus.
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Which includes:Diverse and inclusive culture of collaboration and innovationOpportunity to work on complex, transformational projectsCommunity and social responsibility as sustainable stewardsFocus on learning, development, and career growthBest-in-class benefits, including flexible, hybrid workplaceWe are consistently rated one of the top AEC firms to work for across our 30+ offices on the East Coast.
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learning development jobs in Waltham, MA
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