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collection on medical history, lifestyle and nutritional habits, vitals, anthropometrics, blood tests, continuous glucose and sleep monitoring, and multi-omic molecular profiling, including genetics
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methods, decoding algorithms, or fault-tolerance and resource estimation. Experience with Python (and ideally Mathematica or other scientific computing tools) is preferred. Overtime Status Exempt: Not
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graph-based algorithms for genetic data. The specific project involves understanding the unique evolutionary histories of diverse populations, both in humans and other species. The research specialist
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, Java/OOP, Software Engineering, Computer Networks, Computer Architecture and Organization, C/C++, Algorithms, Data Structures, Cybersecurity, Embedded Systems, Data-bases, and Operating Systems
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Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and
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: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage
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applying new AI algorithms and models, motivated by biological research in biochemistry, drug design, immunobiology, neuroscience, and cancer biology. Example application areas include generative models
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Clinical Laboratory Science, Genetics, Molecular Biology, or a related field, and must be ABMGG board certified or board eligible in Laboratory Genetics and Genomics, or Molecular Genetic Pathology, or a
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data architectures, algorithms, and automation workflows. Promote shared ownership of solutions, ensuring alignment with long-term sustainability, performance expectations, and enterprise standards
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(Networks, Operating Systems, Databases, etc.), Machine Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.) Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub