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datasets generated from omics experiments to drive drug discovery and development. The role will require applying a deep understanding of biology together with advanced computational methods to solve complex
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
molecular biology; and experience in the ethical and humane use of animals (especially mice/rats) in laboratory research. Job #22592-3 This is a one-year, term-limit position with the possibility
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can address across HMS departments Curriculum development for CCB workshops in computational biology and machine learning Delivering hands on training and office hours for workflows in computational
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of the Graduate Science Education Series (GSES), https://curriculumfellows.hms.harvard.edu/graduate-science-education-series BASIC QUALIFICATIONS: Candidates are expected to have a PhD in Computational Biology, or
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of the Graduate Science Education Series (GSES), https://curriculumfellows.hms.harvard.edu/graduate-science-education-series BASIC QUALIFICATIONS: Candidates are expected to have a PhD in Computational Biology, or
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will be working closely with faculty on two foundational graduate courses in molecular biology and protein biochemistry targeted to first year graduate students. The CF will be expected to play a large
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related to drug discovery, therapeutic science, pharmacology, physiology, biochemistry, or cell biology in your cover letter. A curriculum vitae. A teaching statement. The teaching statement is an
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excellence, efficiency, and speed Play a key role in progressing projects through the Lead Optimization phase in partnership with enabling functions within Medicine Design, including Structural Biology
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phase in partnership with enabling functions within Medicine Design, including Structural Biology, Chemical Biology, Primary Pharmacology; and Pharmacokinetics and Drug Metabolism, to ensure the delivery
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, including Structural Biology, Chemical Biology, Primary Pharmacology, and Pharmacokinetics and Drug Metabolism, to ensure the delivery of small-molecule/synthetic drug candidates with scientific excellence