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Previous industry experience is preferred and a strong background in applying computational and systems biology, including multi-omics data analyses, to research, translational and clinical programs with demonstrated ability to meet program objectives and timelines.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field. Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field.
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The Choi L aboratory is seeking a highly motivated , creative, and successful individual with a background in molecular biology, synthetic biology, developmental biology, stem cell biology, cancer biology, AND/OR computational biology.
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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Report to the Computational Biology Group leader and collaborate with key stakeholders to drive innovative therapies for inflammatory bowel disease, chronic liver disorders, and chronic inflammatory indications in dermatology and rheumatology.
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A doctoral degree in biostatistics, statistics, computational biology, bioinformatics, or a related discipline. The successful candidate will work on developing innovative high-dimensional statistical methods, scalable computational algorithms, and accessible software packages for MSKs unique and continuously growing clinical microbiome database of more than 10,000 longitudinal stool samples with comprehensive metadata.
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Collaborate with our Synthetic Biology and Computational Biology teams to develop workflows for comprehensive high-throughput testing of multiple synthetic genetic components, their combinations, and therapeutic candidates.
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Description :Required QualificationsEducation: PhD in biochemistry, biophysics, structural biology, computational biology, or related field. Demonstrated research experience and familiarity with standard computational biology techniques.
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PhD in bioinformatics, biostatistics, computational biology, or closely related disciplines, or equivalent combination of degree and experience. Reporting to the Director of Informatics & Computational Biology, the ideal candidate is a self-motivated team player who can work closely with immunologists and bioinformaticians, is an expert in analyzing Spatial Biology transcriptomics, protein, and imaging data, and has a track record of discovering novel biological insights from omics data.
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The successful candidate will: have an active program of research; is expected to develop an externally funded, high-impact research program focusing on roots and their interactions with soil using modern approaches of computational biology and data science, responsible for teaching residential undergraduate and graduate courses; advise master's and doctoral students; and provide service to the Department, College, Institute, University, and professional.
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Prior experience with rodents, cell culture, microscopy, RNA/qPCR, western blotting, computational biology, and/or flow cytometry would be helpful but is not required. A BS with some experience in cell biology, developmental biology, immunology, physiology, or related field is required.
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PhD in in computational biology, bioinformatics, systems biology, biological engineering, data science, statistics, computer science, biology, chemistry, physics, or a related field (PhD students in the last year of their thesis work are eligible to apply.
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Summary: As part of our strategic plan to expand research and application of computational biology and artificial intelligence, we are seeking highly motivated early-stage faculty recruits (at the Assistant Professor level) with track records in computational and systems biology, data science, machine learning/artificial intelligence, bioinformatics, and other relevant disciplines.
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A mindset for continuous learning, strong communication and problem-solving skills will be required for effective cross-functional collaboration with Automation, Computational Data Science and Scientific teams, including Platform Chemistry, Medicinal Chemistry, and pre-clinical Biology.
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clinical assistant computational biology jobs Company: Nyu Langone Health
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