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Qualifications:Ph. D. in Cancer/Molecular/Cell biology/Genetics, computational biology, or a related fieldStrong hands-on experience in laboratory research with molecular and cellular biology techniquesProficiency with analysis of high-throughput omics dataOne or more first-author papers published or accepted in a high-quality journalHighly motivated to conduct cutting-edge translational research that answers fundamental biological questions.
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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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PhD (or M.S. with relevant experience) in Computational Biology, Bioinformatics, Biophysics, Physics, Computer Science, Statistics, Molecular Biology, Genetics, or related discipline.
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PhD in Molecular Biology, Computational Biology, Biochemistry, Chemistry, Chemical Engineering, or similar field and/or significant independent bench experience (=10 years of experience in molecular diagnostics, biotech, or pharma industry.
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PhD, MS or BS in computer science, electrical engineering, biomedical engineering, bioinformatics, computational biology, physics, mathematics or equivalent. Familiarity with concepts of cell and molecular biology applicable to immunology, cancer immunotherapy, oncology or neuroscience.
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A PhD in bioinformatics, computational biology, biostatics, cancer genomics, or a related field with at least 5 years of relevant work experience. We 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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Drive computational analysis in collaboration with wet-lab scientists to optimize molecular biology workflows and molecular designs in plants. Nobell is seeking a Computational Biologist / Machine Learning Scientist to join our team of scientists to contribute to the development of the Nobell Plant Grown Protein (PGP) platform.
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About Mantra BioAt Mantra Bio we seek to create better medicines by developing next generation biologics based on our leading proprietary exosome engineering platform, REVEAL. REVEAL integrates in silico computational biology and wet-lab automation to enable the rational design of engineered exosome therapeutics directed at a wide range of tissue and cellular targets.
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Familiarity with data management and visualization tools and collaborating with computational biology to analyze complex data sets emerging from clinical trials. The Precision Medicine Department at Abbvie is committed to advancing drug development and patient care through building a deeper understanding of disease biology and developing tools to optimize clinical decision making and customize treatment for individual patients.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. Experience in modeling pathophysiology and therapies or related systems biology models with ordinary differential equations.
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PhD in Computational Biology, Bioinformatics, Biophysics, or a related discipline. Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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Previous research experience in one of the following areas: immunology, T cell biology, cardiovascular biology, bioinformatics, or computational biology is preferred. The Inflammation, Cardiometabolic Disorders, and Center for Research Acceleration and Digital Innovation Departments at Amgen seek a highly motivated postdoctoral fellow to conduct a transdisciplinary project and study the fundamental biology of conventional and unconventional T cells in atherosclerosis.
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Qualifications: 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.
$65 - $70 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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If you are a passionate and driven individual with a background in machine learning, computational biology, and drug discovery, we invite you to apply and be a key contributor to our dynamic and collaborative research environment.
$187,000 - $261,050 a yearFull-timeExpandUpdated Today
computational biology jobs in South San Francisco, CA
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