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Strong background in Computer Science, Statistics, Genomics, Genetics, RDBMS, Cloud Computing, Google APIs, Bioinformatics and Computational Biology required. Strong background in Computer Science, Statistics, Genomics, Genetics, RDBMS, Cloud Computing, Google APIs, Bioinformatics and Computational Biology required.
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Qualio is trusted by 100s of highly regulated international customers, ranging from the bleeding edge of computational biology and machine learning to household names in mRNA vaccine development.
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Provide scientific research and programming support for cutting edge technology and training in the areas of bioinformatics and computational biology. Apply knowledge of relational databases to optimize extraction and analysis of multivariate data Use advanced knowledge and proficiency with a variety of statistical and computational techniques.
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M.S., B.A. or B.S. in Biology, Microbiology, Virology, Computer Science, Computational Biology. If you have a background in Biology, Microbiology, Virology, or Computer Science, with 1-3 years of bioinformatics experience and proficiency in next-generation sequencing (NGS) technologies, we encourage you to apply.
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Doctorate degree in a Bioinformatics or Computational Biology field. Doctorate degree in a Bioinformatics or Computational Biology field. Experience in rare disease diagnostics or epidemiology.
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Experience with preprocessing, cleaning, and normalization of bioinformatic data, including handling of next-generation sequencing data. organization, including DARPA, IARPA, ARPE, or ARPH. Experience with data visualization tools and te chn iques tailored to bioinformatics.
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To start, the PM, in participation with leadership, will lead the planning and execution of the Warren Alpert (WA) Scholar Program in Computational Biology and Artificial Intelligence. To start, the PM, in participation with leadership, will lead the planning and execution of the Warren Alpert (WA) Scholar Program in Computational Biology and Artificial Intelligence.
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Doctoral degree in Molecular Biology /Cell Biology/Genomics/Computational Biology or a related. discipline with experience in molecular biology techniques and mouse models preferred.
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NLM is a global leader in biomedical informatics and computational health data science and the world's largest biomedical library. As part of NLM, NCBI performs applied research in data representation and analysis, including the development of computer-based systems for the storage, management, and retrieval of knowledge relating to molecular biology, genetics, and biochemistry.
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Qualifications Required:Bachelor’s degree in a STEM field in one of OUSD (R&E) Critical Technology Areas (CTAs) or a related discipline; CTAs fields include but are not limited to biology, chemistry, engineering, cyber, software/computational science, aerospace, quantum, and microelectronics.
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In this position the Data Scientist is responsible for developing, planning, and executing basic and applied research in bioinformatics as applied to biodiversity genomics and conservation biology, and provide bioinformatics and computational expertise and training to the Center for Conservation Genomics (CCG)/National Zoological Conservation Biology Institution (NZCBI) scientists.
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Of retional databases (e.g. PostgreSQL) to optimize extraction and analysis of multivariate data Use advanced knowledge and proficiency with a variety of statistical and computational techniques.
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NCBI's annotation pipelines not only serve these diverse expert communities - they actually drive new life sciences discoveries, ranging from medical health (viruses and pandemics, genetic diseases, cancer) to public health (food safety monitoring, antimicrobial resistance, viral outbreaks), to basic research topics in computational biology, bioinformatics and microbial diversity, and many more.
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Job Qualifications· Ph. D. in Computational Biology, Biostatistics, or a related field. This position will be focused on the bioinformatics collaborations in Oncology clinical trials and will thus play a crucial role in analyzing large-scale genomic and clinical datasets to uncover insights into cancer biology and treatment response.
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Ph. D. in Computational Biology, Biostatistics, or a related field. Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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computational biology jobs in Washington, DC
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