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Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan. Ph. D. in Computational Biology, Biostatistics, Statistics, Bioinformatics or related field.
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Reporting to the VP of Computational Biology, the Director, Computational Biology will interact closely with the core R&D team and be responsible for developing and implementing computational models and algorithms to analyze complex biological data sets and support assay development and collaborations with Key Opinion Leaders in academia and industry.
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D. or equivalent experience in Computational Biology, Bioinformatics, Genomics, or a related discipline and a working knowledge of Cellular Biology. Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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Engage actively with multiple departments, playing a catalytic role at the intersection of computational biology, machine learning, and domain-specific challenges. Leadership & Strategy - Spearhead the computational biology and data science team towards achieving critical innovation aligned with Karius' strategic goals.
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PhD in a relevant domain [Immunology, Computational Biology, Structural Biology, Bioengineering, Bioinformatics, or similar] with 3+ years of industry experience preferred. BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology.
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Bachelor’s degree in computational and engineering sciences (e.g., computer science, computational biology, electrical engineering, biomedical engineering) or other related fields.
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A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.
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Design and execute protein engineering strategies to deliver developable biologicsformats by applying molecular biology, structure-guided, computational,combinatorial/display approaches. The Biologics group is responsible for various functions criticalfor drug development such as: antibody discovery, molecular biology, cell line engineering,protein engineering, biophysical analytics, and functional cell assays.
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Required Qualifications:A PhD in bioinformatics, computational biology, biostatics, cancer genomics, or a related field with at least 5 years of relevant work experience. Job DescriptionSr Research Scientist I – Oncology Bioinformatics, Research Data ScienceWe are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
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Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master's degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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The lab is co-affiliated with the Carnegie Department of Global Ecology ( ), the Department of Biology at Stanford University ( ) and with the center of Computational, Evolutionary and Human Genetics.
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B.S. or M.S. in computer science, bioinformatics, computational biology, genomics, or a related field with 7 years of industry experience or Ph. D. with 3 years of experience. Familiarity with molecular biology or synthetic biology approaches and methods.
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Research in the department spans a wide range of biological problems at the molecular, cellular, tissue, and whole animal scales, and includes the molecular basis of transcription and translation, cellular signaling, development of multicellular tissues, virus structural biology, immunology, and computational biology.
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Doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years of experience, OR masters degree with at least 5-7 years, OR BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, or other relevant fields with at least 1-3 years/a master's degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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computational biology jobs in Redwood City, CA
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