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Laboratory of Dr. Brian Nelms (Associate Professor of Biology and Biochemistry & Molecular Biology, Fisk University, and. Postdoctoral Research Fellow in Biology / Biochemistry & Molecular Biology.
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Strong background in one or more of the following areas: molecular biology; protein/RNA biochemistry; transcriptional/epigenetic regulation; cell signaling; virology; immunology; T-cell biology; cancer biology.
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Bachelors or Graduate degree in the biological or biomedical sciences, such as molecular biology, cell biology, biochemistry, microbiology, etc. Experience with bioinformatics and computational biology.
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PhD in a quantitative field (e.g., mathematics, computer science, engineering, statistics, bioinformatics, molecular biology, biochemistry etc.) Knowledge of molecular biology and biochemistry/structural biology is a requirement.
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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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The Section of Genetic Medicine conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences Division and the University of Chicago.
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In our Brighton/Boston labs, RNA biology meets today's cutting-edge genomics, computational biology, and deep-sequencing technologies to create a new class of medicines that address the underlying causes of disease.
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Job Summary Beacon Hill Legal is working with a top-notch, fully remote, IP boutique law firm seeking a Patent Agent with at least 3 years of experience and a PhD in molecular biology, cell biology, computational biology, bioinformatics, or biochemistry.
$100,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The College of Science at UTA offers more than 50 bachelor's, master's, and doctoral degree programs in Biology , Chemistry and Biochemistry , Earth and Environmental Sciences , Mathematics , Physics , Psychology , Data Science , Applied Statistics and Data Science, as well as preparing future leaders in Health Professions.
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Work in partnership with other scientists (computational biologists, analytical chemists, and fermentation scientists) to identify, develop, and apply new synthetic biology & genome engineering tools to meet company goals/milestones.
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A Bachelor’s Degree (or equivalent knowledge/training) in Microbiology, Virology, Genetics, Biochemistry, Bioengineering, Synthetic Biology, Genomics, Molecular Biology, or a related field and a minimum of 1 year relevant experience in Genome/Plasmid preparation, PCR, and Gel Electrophoresis or an equivalent combination of education and experience.
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Strong background in entomology, computational biology, molecular biology, biochemistry, and cell biology. Ph. D. in Biology or closely related field or DVM/PhD. Experience in working with mites and honey bees.
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Lead the LGR Biology Team in collaboration with Technology and Computational Teams to develop state-of-the-art pooled and arrayed CRISPR screening platforms employing high-dimensional functional assays based on Perturb-seq, high-content cell imaging, flow cytometry and other omics technologies.
$112,500 - $176,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Will interact and closely collaborate with other Small Molecule Unit Scientists (medicinal chemists), Data Science & Innovation (DSI) computational chemists, Global Drug Discovery (GDD) biology, Global Drug Discovery and Safety (GDDS); Global Research Technologies (GRT.
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Applicants must have received a Ph. D. (or foreign equivalent) in experimental or computational structural biology, biochemistry, chemistry, physics, computer science, statistics, or related field; made outstanding contributions in basic/applied research; acted as a persuasive advocate for the open data movement and the FAIR and FACT Principles emblematic of responsible data stewardship; and successfully led large multidisciplinary teams engaged in national/international collaborations.
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