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Expertise in one or more cell and molecular biology disciplines including DNA/RNA sequencing, single-cell genomics, spatial transcriptomics, fluorescent microscopy, and histology. PhD degree in molecular biology, immunology, biochemistry, cell biology, neuroscience, developmental biology, bioengineering,or related field with 2-5 years of industrial experience.
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In addition, the successful candidate will carry out synthetic biology research in support of several projects that focus on medicine making, sustainability, and biomaterials. Specific expertise in synthetic biology and biomaterials.
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Associate Director/Associate Principal Scientist, Biology San Francisco. Associate Principal Scientist, Cancer Biology San Francisco. Associate Director/Associate Principal Scientist, Biology San Francisco.
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Superior Academic Credentials; PhD (or MD) in organic chemistry, medicinal chemistry, cell biology, immunology, molecular biology, oncology, or a related field. The role requires someone that has a PhD (or MD) in organic chemistry, medicinal chemistry, cell biology, immunology, molecular biology, oncology, or a related field.
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The research can involve a variety of approaches including genetics, proteomics, mass spectrometry, protein engineering, and chemical biology. The Department of Plant Biology of the Carnegie Institution for Science (formerly known as the Carnegie Institution of Washington) is a private U.S.-based non-profit endowment, located on the campus of Stanford University since 1928.
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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. We are seeking a multi-disciplinary Bioinformatics Data Scientist (Systems Biology and Data Visualization) to develop scalable bioinformatics pipelines, pioneer novel methods for multi-modal data analysis (clustering, network analysis, machine learning), and build data visualization solutions and web portals.
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Expertise in all or most of the following: synthetic biology, microbiology, strain engineering (stable chromosome modifications), design-build-test of plasmids and genetic circuits according to specs, parallel characterization of genetic parts, nitrogen fixation, plant-microbe interactions.
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Hands-on proficiency in standard immunology and cell biology techniques such as mammalian cell culture and multicolor flow cytometry. BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology.
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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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Requirements include technical proficiency in general laboratory practices with an emphasis on protein biochemistry and molecular biology experience. The successful candidate must have a strong protein expression / purification and molecular biology background.
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Design, execute, and analyze preclinical research studies focused on engineering stem cells, and spanning molecular biology and cell biology. Experience with multi-color flow cytometry, panel design, primary cell culture, cell sorting and/or data analysis is preferred.
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Skills in all or most of the following molecular biology techniques: bacterial culturing, PCR, qPCR, gel electrophoresis, Gibson assembly (design and execution), transformation (chemical, electrical, conjugative), DNA purification, Sanger sequencing and analysis, plate reader assays, fluorescence microscopy.
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We use data science, genomics, synthetic biology, and automation to discover potent, evolutionarily refined small molecules and their cognate targets from fungal genomes, and apply medicinal chemistry when needed to optimize these molecules into truly transformative medicines.
$190,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today
biology job in Menlo Park, CA
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