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Scholars will focus their training on the epidemiology of cardiovascular disease such as coronary heart disease, stroke, heart failure, and other forms of vascular disease, following one of the training pathways: statistical genetics and genomics, computational biology and bioinformatics, or clinical epidemiology.
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PhD degree in computer and information sciences, bioinformatics, cheminformatics, computational biology/chemistry with a minimum of 3 years' experience, or PhD in Biology, or life science field with minimum of 4 years’ experience in data sciences.
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Experience as Computational Biology co-lead for pre-clinical drug discovery programs. PhD degree in computational biology, bioinformatics, or a related field. Senior Computational Biologist.
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Stay updated on protein space and industry trends: Keep abreast of the latest developments in computational structural biology, protein engineering, and related fields. Position Summary:We are seeking an energetic and motivated scientist with extensive experience in computational structural biology and developing AI/ML models for generative protein design to join our tight-knit team.
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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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Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computed-assisted translation (CAT) solutions. Proven experience in systems engineering, program management, computational linguistics, or CAT tools.
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Proven proficiency in converting molecular biology lab tests such as PCR/qPCR, DNA assembly methods, and sequencing library preparation into a liquid handling system. As DNA sequencing is the foundational technology behind humanity‘s understanding of diseases and the tool that provides a new view into the fundamentals of biology, Volta is at the forefront of a sequencing revolution, driving sequencing towards seamless ease of use and complete automation.
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Experience in pooled or arrayed high throughput screening pipelines, immunology, immunotherapy, antibody discovery/development, gene engineering, genomics, computational biology, or synthetic biology preferred.
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Principal duties and responsibilities will include performing cutting edge, bench-level research in the following areas: molecular/cellular biology, human induced pluripotent stem cell (iPSCs) and neural stem cells, cellular differentiation, lineage phenotyping and basic neurobiology.
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Monitor and evaluate new and emerging technologies that benefit the development of computational biology software. Work closely with the computational biology team to deploy method prototypes in production.
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Bachelor's degree in Biology, Chemistry, Clinical Laboratory Science, Medical Technology or meet local regulatory (CLIA & State) requirements. Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist or clinical laboratory scientist.
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Collaborate effectively with renowned GSK experts in genetics, genomics, computational bio & chem, structural biology and medicinal chemistry, artificial intelligence / machine learning, and digital technologies to build the datasets, tools, models, and infrastructure necessary for oligo design & development.
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Strong knowledge of molecular biology, immunoassays, protein biochemistry, or biophysical characterization is a must. PRAI: MS in Cell Biology, Molecular Biology, Microbiology, Biochemistry or a related discipline with 6+ years relevant experience, or BS with 8+ years relevant experience.
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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. This team of computational imaging scientists is responsible for advancing Bristol-Myers Squibb’s industry-leading pipeline through the strategic application of cutting-edge tissue-based image analysis and bioinformatics approaches.
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Postdoctoral associates independently choose their (computational and biomedical) mentors from Broad-, MIT-, or Harvard-affiliated faculty. The Schmidt Center’smission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and organisms.
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computational biology jobs Title: post doctoral fellow Company: Emory University in Boston, MA
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