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Ph. D., or Masters + 3 years experience, or Bachelor’s + 6 years experience in a computational discipline (e.g. Computational Biology, Bioinformatics, Biostatistics, Bioengineering, Computer Science, Mathematics, Physics, Statistics.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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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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Familiarity with next-generation sequence data analysis tools● Basic understanding of molecular biology and next generation sequencing is highly preferred● Familiarity with single cell data analysis is preferred, but not required.
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We are seeking a motivated individual for a Computational Research Scientist position that will specialize in deep learning to solve biological problems. Our platform is proven to work across scales, bridging the Valley of Death between lab and manufacturing more efficiently and more reliably to deliver the benefits of synthetic biology today.
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Background in molecular and/or cell biology, biochemistry, genomics, cancer biology, or computational biology. This lab-based research effort builds on our clinical discoveries linking PRC1.1 inactivation to poor prognosis and differential response to standard and novel treatments and our mechanistic studies describing how specific gene mutations disrupt PRC1.1 complex assembly to impair repressive function and drive epigenetic reprogramming of leukemia target genes that mediate oncogenic signaling.
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Experience and familiarity with quantitative research and data is strongly preferred, including expertise in biostatistics, bioinformatics, computational biology, clinical imaging, machine learning, genetics, proteomics or data science.
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Research is supported by the National Heart, Lung, and Blood Institute, American Society of Nephrology and the BWH Khoury Innovation Fund. Under the supervision of the Principal Investigator and research staff, the Research Analyst Intern will conduct analyses with and develop pipelines for various types of omic data as well as clinical datasets from epidemiologic studies and clinical trials.
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Meet your future team:You will be an SME for genotoxicity and gene editing products working closely with Computational Biology, Toxicology, Genomics Innovation and PreClinical Genotox to support the development of genome editing based therapeutics into the clinic.
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Quantitative and computational skills (e.g. Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, or Data Science for Health.
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You have a PhD in computational biology, bioinformatics or equivalent experience in an industry. Summarize and communicate results to project teams (biochemistry, mass spectrometry, biology, medicinal chemistry), provide intellectual input, and contribute to decision-making in early drug discovery.
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In reality, this means working with the leaders of the following groups – AI Research, Engineering, Product, Computational Chemistry, Medicinal Chemistry, Biology, Business Development, and Operations – to ensure t.
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Experience in cancer cell biology, cancer genomics, computational biology strongly preferred. Informational links EnvironmentThe Mike Toth Head and Neck Cancer Center is in the Simches Research Center at Mass General Hospital, in the Historic Beacon Hill Neighborhood of Boston.
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Strong understanding of the Pharma and Biotech industry challenges is needed and ability to develop high level of applications knowledge based on industry and familiarity with most common Sequencing, Synthetic Biology, cell and gene therapies, and molecular biology lab techniques.
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We are seeking a highly skilled and experienced Principal Scientist in Biotherapeutics Engineering to design and optimize biologics-based drugs, incorporating structural biology expertise as well as innovative computational methods.
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computational biology sequencing clinical research jobs Company: Grail in Boston, MA
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