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with expertise in bioinformatics, comparative oncology, and translational cancer research. The faculty member will collaborate with clinical and basic science investigators across the College
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advanced multi-omic / bioinformatics integrations to model and dissect human diseases. Our lab focuses heavily on inventing and refining Next Approach Methodologies (NAMs)—specifically, brain organoids, Blood
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. Familiarity with NGS data analysis and command-line bioinformatics (e.g., CRISPResso, Python or R). Experience mentoring students or technicians and coordinating lab operations. Special Instructions
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bioinformatics) in mammalian cell culture model systems. We strive to cultivate a collaborative lab environment that enables innovative and cutting-edge research. The position will involve performing routine
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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with CRISPR screening, and bioinformatics/computational analysis of sequencing data. Experience in cellular metabolism, metabolic biology, or metabolic biochemistry. Experience with in vivo animal models
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screening, and bioinformatics/computational analysis of sequencing data. Excellent oral and written communication skills in English, with strong organizational skills, attention to detail, analytical ability
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computer science and engineering education that addresses a wide spectrum of computing areas, including: AI/machine learning, algorithms, bioinformatics, computational complexity, compilers, computer architecture
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, structural bioinformatics, and phage biology, with the goal of uncovering new biology at the host-phage interface and translating it into tools for science and medicine. This is a hybrid role. Roughly 70% of
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Classification Title: Data Scientist IV Classification Minimum Requirements: A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and seven years