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Strong background in Computer Science, Statistics, Genomics, Genetics, RDBMS, Cloud Computing, Google APIs, Bioinformatics and Computational Biology required. HJF is seeking a Senior Bioinformatics Scientist to contribute to the advancement of Bioinformatics, particularly in the areas of Genomics and Metagenomics.
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The Department of Biology has strengths in computational biology, molecular biology, developmental biology, ecology, physiology and evolution and seeks collaborative applicants who can contribute to a diverse and inclusive environment through their scholarship, teaching, mentoring, and professional service.
TemporaryExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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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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Extensive experience and expertise, demonstrated via a strong publication record and prior work experience, in the analysis of cancer genomics data, including whole-genome sequencing, exome sequencing, RNseq, and epigenomic data.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research. Establish, develop, and implement optimal bioinformatics pipelines for the analysis of next-generation sequencing and other -omics data.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Derive novel prognostic and predictive signatures using statistical and machine learning methods to guide patient stratification and biomarker selection in clinical trials. Proficient in programming languages such as Python, R, and Perl, with a mastery of various bioinformatics tools and software, along with experience in developing bioinformatics pipelines.
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As an active team member of the Computational Biology (CompBio) research group at Boehringer Ingelheim, US research facility in Ridgefield, CT. PhD/Masters degree from an accredited institution with experience in a related scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred.
$43 - $46 an hourExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The lab is a core member of Penn Epigenetics Institute, Abramson Cancer Center, and Institute for Biomedical Informatics, which together provides a rich multi-disciplinary environment for individuals interesting in computational and chromatin biology.
$50,684 - $91,232 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Understanding of basic cellular and organismal physiology and a broad understanding of experimental and computational aspects of high-dimensional biology (e.g., genomics, proteomics.
$204,000 - $245,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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About the role The Computational Biologist will work closely with scientists and other computational biologists to analyze NGS genomics data and develop bioinformatics methods to solve exciting and challenging problems in cell and gene therapy, immunology, and stem cell biology.
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PhD or equivalent experience in Bioinformatics, Computational Biology, Computer Science, or a related field. Develop bioinformatics pipelines and tools for novel and diverse data domains ranging from genomics and proteomics to computer vision.
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The Genomics Research Center (GRC) Immunology Computational Biology group at AbbVie is seeking a highly motivated, experienced computational biology leader to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment and cure of immunological diseases.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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A Lead or Sr Computational Research Scientist position is immediately available in the laboratory of Dr. Xiang Chen in the department of Computational Biology to develop and apply innovative machine learning/statistical learning approaches to understand interactions between genetic alterations and epigenetic deregulations and to discover potential biomarkers for predicting drug responses in pediatric cancers.
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