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OmniTrap MS Curate high-quality MS/MS datasets and perform detailed fragment ion interpretation Collaborate with computational researchers on downstream data interpretation and methodological refinement
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applying AI and statistical models to large-scale, multi-omics, imaging, and clinical datasets Familiarity with Linux-based environments, shell scripting (e.g. bash), and high-performance or cloud computing
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Pathology, Cytogenetics, and HLA testing, within a fast-paced, high-complexity clinical environment. These laboratories are accredited by the College of American Pathologists (CAP) Laboratory Accreditation
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projects from fundamental discovery through to technological development and scalable application. They will build and manage a high-performing team, ensure research excellence and ensure research can be
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graduate-level programs, including master's and PhD programs within the Graduate School. Collaborate with Program Associate and Assistant Deans, staff, and faculty to ensure high-quality curriculum design
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seamless, high quality experience for faculty and stakeholders alike. Job Responsibilities: Execute and guide processes throughout the faculty lifecycle, including faculty recruitment, relocation
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collaboration and knowledge sharing. Access to a world-class computational infrastructure and high-quality datasets. The opportunity to engage with world-class researchers, software engineers, and AI/ML experts
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cytometry, non-invasive whole animal imaging, spatial transcriptomics and mass spectrometry, gnotobiotic research, advanced genomics, proteomics, and metabolomics, and high-performance computing. Candidate
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). Experience with volumetric 3D/4D microscopy data analysis tools. Experience with high performance compute environments (cloud-based and slurm/lsf clusters). Clear, proactive, and efficient communication style
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Proficiency in written and spoken English, with strong communication and collaboration skills Preferred qualifications Experience with machine learning or statistical modeling Familiarity with high-performance