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Ph. D. in Computer Science, Bioinformatics, Computational Biology, human genetics, biostatistics or related field, with 5+ years of industry experience utilizing bioinformatics to develop biomarker strategies from clinical insights.
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Bioinformatics NGS Data Analyst. We are seeking a scientist to join our Systems Immunology Lab in Client’s Inflammation & Immunology Research Unit. The successful candidate will be responsible for generating and processing single-cell, spatial, and functional genomics data, as well as supporting standard immunoprofiling activities such as cell culture and flow cytometry.
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PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics) For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions.
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PhD, MS, or BS in Computational Biology, Bioinformatics, or related quantitative fields. Demonstrated experience in building substantial modern bioinformatics applications using Python. At least 10 years of industry or post-degree experience.
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PhD degree in Systems Biology, Bioinformatics or Computational Biology with 2+ years relevant experience, or MS with 8+ years relevant experience, or BS with 10+ years relevant experience. Utilize advanced bioinformatics, computational and AI/ML techniques to analyze multi–omics and multi-modal data, identifying novel drug targets and biomarkers, and elucidating molecular and cellular mechanisms of action in Gastroenterology and Inflammation portfolio.
$209,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD degree in computational biology, bioinformatics, or a related field. NGS Data Analysis: Lead and contribute to the design and execution of bioinformatics pipelines for the analysis of NGS data, with a specific emphasis on RNseq datasets.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Ragon Institute is a highly unique, innovative, and collaborative research center at the forefront of biomedical science.
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Developing novel statistical tools to improve the power to identify disease gene association by integrating epigenetics and xQTLs to GWAS. SKILLS & COMPETENCIES REQUIRED: The ideal candidate should have received (or expect to receive soon) a , biostatistics, genetics, computational biology, bioinformatics, computer science and/or related field.
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PhD in bioinformatics, computational biology, applied mathematics or equivalent with a minimum of 5 years of relevant industry experience. The Principal Scientist, Bioinformatics Data Science, is a critical contributor to data analytics and engineering focused on accelerating our R&D programs and expanding our FORCE⢠therapeutic delivery platform.
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Experience in bioinformatics and computational biology tools. Collaborate closely with cross-functional teams (molecular biology, bioinformatics, clinical development) to achieve integrated research objectives.
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Education : Ph. D. or Master’s degree in Computer Science, Data Science, Computational Biology, Bioinformatics, or a related field. AI/ML Development : Oversee the design, development, and deployment of scalable AI and ML models and platforms to support various biotech applications, including predictive modeling, image analysis, natural language processing, and computational biology.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic Qualifications:PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 8+ years. The successful candidate will have a key role in the analysis of large-scale somatic genomic and clinical data, applying cutting edge algorithms and developing automated methods to support large-scale bioinformatics analysis.
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PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, or a related field. Our team is an innovative group of domain experts in AI/ML computational design, advanced synthetic biology, microfluidics, protein engineering, and single-cell profiling who are deeply passionate about the power of the platform to invent the future today.
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PhD or equivalent in Statistics, Biostatistics, Bioinformatics, Data Science, Epidemiology, Health Informatics, Computer Science or similar field. This Research Faculty member will be hired at the rank of Assistant, Associate, or Full Research Professor, according to experience.
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bioinformatics job Title: post doctoral associate Company: University Of Minnesota in Cambridge, MA
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