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Requirements: Bachelor's or Master’s degree in bioinformatics, Computational Biology, Biological Sciences, or a related field. Demonstrated understanding of fundamental concepts in genetics/genomics, molecular and cellular biology, and bioinformatics.
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Prior educational background in biology, immunology or molecular biology is required and previous lab experience, particularly in molecular biology or NGS techniques, would be a plus.
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REQUIRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field. Provide best-¬practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA¬seq, ChIP¬-seq, ATAC-seq, Methyl-seq, DNA¬-seq, and Microbiome Sequencing.
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Strong background in genomics, bioinformatics computer science, bacterial or viral genetics, and/or computational biology. Candidates must have completed a Bachelor's or Master's degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. Experience in modeling pathophysiology and therapies or related systems biology models with ordinary differential equations.
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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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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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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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BS, MS or PhD degree in electrical engineering, computer science, or related fields (e.g., physics, applied biology, computational design, biodesign, robotics) They have produced and can present a prolific corpus of research and experimental demonstrations rooted in sound scientific approaches and process-driven design; exemplify a passion for systems-based thinking with a wide range of potential applications for their work; personify an appreciation for engineering, science, and art; and seek synergy between biology and technology in research, practice, and direct industrial utility.
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The Computational Toxicology Intern will gain exposure to a wide range of safety-related datasets ranging from biology, pharmacology, toxicology, and chemistry to help with predictive modeling, data engineering, and data visualization.
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The Inside Sales Representative proactively promotes the sale of IDT's full portfolio of products, including custom oligonucleotide solutions across key application areas such as qPCR, CRISPR, Functional Genomics, Synthetic Biology, and Next Generation Sequencing.
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Bachelor's degree in a Life Science field with equivalent experience in Biology, Genetics, Biochemistry, Molecular Biology or related field required. Molecular Biology or similar lab experience.
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Ph. D. (or other graduate degree with equivalent experience) in computational biology, bioinformatics, genetics or related life, physical, or computational sciences with at least one publication demonstrating the use or development of computational biology applications.
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A PhD in bioinformatics, computational biology, biostatics, cancer genomics, or a related field with at least 5 years of relevant work experience. We are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
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PREFERRED EXPERIENCE / in a quantitative field (, Computer Science, Engineering, Mathematics, Physics, Computational Biology) with 8+ years of related industry experience, with 5+ years of related industry experience, with 2+ years of related industry experience or equivalent.
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computational biology jobs Title: post doctoral fellow Company: Emory University
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