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Proficiency in molecular biology techniques such as cloning, transformation, transfection, transduction, qPCR, gene editing-CRISPR, RNAi, RNA sequencing, NGS and Western blotting. Proficiency in molecular biology techniques such as cloning, transformation, transfection, transduction, qPCR, gene editing-CRISPR, RNAi, RNA sequencing, NGS and Western blotting.
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They will be involved in the processing and analysis of NGS data (with a focus on WES/WGS, SNVs/CNVs, ctDNA) and will need a solid understanding of computational approaches for cancer genome analysis and cancer biology to derive meaningful and reproducible biological insights.
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Experience automating methods like antibody purification, ELISA’s, mammalian cell transfections, NGS sample prep, minipreps, plasmid construction, protein purifications, and IP’s. The Senior Lab Automation Engineer will work closely with IPI’s researchers to update and implement automation solutions for a variety of experiments including transfections, protein and antibody purifications, yeast display campaigns, antibody characterization and method validation such as immunoprecipitation, immunofluorescence, immunohistochemistry, flow cytometry, ELISA, and other assay types.
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Job Title: Senior Frontend Focused Engineer (Vue.js) - Healthcare and Genetics Focus. Extensive experience (5 years) developing frontend applications with Vue.js, including proficiency in Vuex, Vue Router, and Vue CLI.
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The analyst shall have successfully completed coursework (graduate or undergraduate level: 3 courses totaling at least 9 cumulative semester hours of laboratory and/or lecture based coursework) covering the following subject areas: biochemistry, genetics, and molecular biology.
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Proficiency in mammalian cell culture, molecular genomic techniques, and computational analysis of NGS data and 3D protein structures. Proficiency in mammalian cell culture, molecular genomic techniques, and computational analysis of NGS data and 3D protein structures.
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BS + 4-8, MS + 3-5 or PhD + 0-3 years experience in statistical genetics, computational sciences (eg, computational biology, molecular biology), or related fields. As a Senior Data Scientist on the Statistical Genetics team in the Translation Data Science Group, you will contribute to building a computational platform that will change the way we identify and validate drug targets.
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MadRag provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, or genetics. For over 30 years, MadRag has been bringing on-trend fashion to budget-conscious women who have a bold sense of style.
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Collaborate with cross-functional teams including designers, frontend developers, geneticists, and data scientists to translate requirements into high-quality Vue.js components and applications. Architect, design, and develop scalable and maintainable backend services and APIs to support our frontend applications, utilizing Python with frameworks such as Django or Flask.
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Additionally, experience with toxicology, NGS, sequencing methodologies, molecular biology, and gene editing approaches is preferred. Meet your future team:You will be an SME for genotoxicity and gene editing products working closely with Computational Biology, Toxicology, Genomics Innovation and PreClinical Genotox to support the development of genome editing based therapeutics into the clinic.
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PhD in neuroscience, molecular and cell biology, biochemistry, bioengineering, genetics, or a related field. We are seeking a dynamic and experienced Scientific Director to lead an RNA editing program targeting highly unmet medical needs in rare disease.
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PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics) PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics.
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Experience with Next Generation Sequencing (NGS) library preparation for RNseq and DNseq. Strong molecular biology skills including Gibson Assembly, Gateway and conventional cloning methods, knowledge in plasmid construct design, agarose gel electrophoresis, DNA purification, plasmid preparation, primer design, PCR, and Sanger DNA sequencing analysis.
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Faculty may interact with the Broad Institute of MIT and Harvard to develop collaborations using cutting-edge technologies in genetics, genomics, and single-cell biology. The Department of Cancer Immunology & Virology at Dana-Farber Cancer Institute and the Department of Immunology at Harvard Medical School invite applications for a tenure-track faculty position at the Assistant Professor level.
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Our research team is based at the Broad Institute of MIT and Harvard, with members in the Data Sciences Platform, Program in Medical and Population Genetics, and Stanley Center for Psychiatric Research, and in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) and Harvard Medical School.
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