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guiding the design of our key components. Working alongside our R&D engineers and a business developer, you will provide the critical analysis needed to make sound engineering decisions and translate our
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science experts, including PhD-level bioinformaticians and genomic scientists, software engineers, and HPC specialists. We enable and collaborate with physician-scientists to develop solutions in support of
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. Preferred Qualifications Expertise in computational data analysis and familiarity with software platforms for image and electrophysiological data processing. Knowledge of bioinformatics, AI-driven phenotyping
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, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data
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bioinformatics research coupled with wet-lab investigations, working in the areas of network biology, data-driven hierarchical modeling, and machine learning applied to biomedicine. We also support multiple open
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Computer Engineering or a related field completed within
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to accelerate drug development and harness AI-driven innovation to address unmet medical needs. Benefits of Working with Great Good Venture Studio Accelerated Development: Our venture studio model streamlines
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-based decentralized trust computing, software engineering/model driven design and architecture techniques, real-time 3D graphics, Metaverse design and deployment, digital twin technology, and others
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computing, machine learning/AI, eco-scale application engineering, cloud computing and infrastructure platform design, software driven networking, software engineering/model driven design and architecture techniques
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computing and infrastructure platform design, software driven networking, software engineering/model driven design and architecture techniques, real-time 3D graphics, Metaverse design and deployment, digital