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Advanced degree (PhD preferred) in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline; 2 or more years of related experience in a university pathology lab or a biopharma company.
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Some familiarity with principles of bioinformatics, computational biology, other scientific software, and programming will be beneficial, but this is not a bioinformatics or computational role.
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We are seeking a highly motivated Bioinformatics Scientist who wants the opportunity to significantly impact the growth and success of our RNA genomics programs. Masters or Ph. D. in Bioinformatics, Computational Biology, Computer Science, Biology, or related discipline.
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Postgraduate school experience in one or more of the following areas: bioinformatics, cheminformatics, computational chemistry and machine-learning. 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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The Bioinformatics Scientist is responsible for analyzing antibody selection data from yeast display, implementing machine learning algorithms to enhance data analysis and lead selection, and managing the data pipeline from raw file processing to database storage.
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Design and implement custom bioinformatics data pipelines to analyze results from novel and established next-generation sequencing (NGS) assays. We are seeking an innovative, collaborative, and accomplished bioinformatics scientist to guide the development of novel therapies using our next-generation gene editing technologies.
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Previous patent prosecution law firm experience, patent bar membership, and a background in one of the following fields: cell or molecular biology, immunology, biochemistry, bioinformatics, organic chemistry, medicinal chemistry, cancer biology, pharmacology.
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Masters degree in biological data analysis and management, bioinformatics, computational biology or similar and at least 1+ years of relevant experience. Bachelors degree in biological data analysis and management, bioinformatics, computational biology or similar and at least 2+ years of relevant experience.
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Ph. D. in computational biology, bioinformatics, genomics, computer science or a related field. Demonstrated record of developing computational pipelines to analyze DNA high-throughput sequencing data and usage of common bioinformatics tools (e.g. bwa, BEDtools, GATK, IGV.
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Graduate STEM degree in Bioinformatics, Computer Science, Biology, Biochemistry, Engineering (some combination of formal biology and computation preferred) At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Ph. D. in bioinformatics, computational biology, statistics, or other related fields with 3+ years of experience in an industry setting. In this role you will be a principal stakeholder in establishing and streamlining the data strategy for the chemical proteomics focused protein editing platform.
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PhD in computational biology, bioinformatics or a related discipline. Stay up to date with emerging technologies and methodologies in bioinformatics and computational biology. We are seeking a computational biologist with an innovative mindset, keen attention to detail, and the ability to work as part of a team to solve problems in preclinical research and development.
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PREFERRED : experience with bioinformatics, materials characterization methods, and/or drug delivery; and interest in green chemistry and environmental science. POSTDOCTORAL ASSOCIATE, YEAST ENGINEERING FOR ENVIRONMENTAL APPLICATIONS , Biological Engineering , to work on cutting-edge yeast genetic and metabolic engineering projects for environmental applications in the laboratory of Professor Angela Belcher.
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Background in genomics, bioinformatics, statistics, epidemiology, computer science, network biology. jointly supervised by Assistant Professor Michael McGeachie and Associate Professor Jessica Lasky.
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Ph. D. or equivalent with 5 or more years of experience in bioinformatics, computational biology, systems biology, plant breeding, genetics or related quantitative field. Proficiency in programming languages commonly used in bioinformatics and computational biology (e.g., R, Python) and experience with high-performance computing and cloud environments.
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bioinformatics job Title: post associate Company: University Of Minnesota in Boston, MA
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