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The Staff Scientist, Bioinformatics is responsible for collecting product requirements and designing and developing NGS analysis pipelines to meet those requirements. As a Staff Scientist, Bioinformatics, you will be part of a growing team of bioinformaticians primarily focused on single-cell and immune profiling NGS applications.
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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.
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Establish, develop, and implement optimal bioinformatics pipelines for the analysis of next-generation sequencing and other -omics data. 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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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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The Bioinformatics Programmer will also evaluate third party tools, especially for Next Generation Sequencing, Natural Language Processing (NLP), text mining and information retrieval, for adaptation into and use in our system, under guidance from the Bioinformatics manager.
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Caris Life Sciences is looking for a sharp, driven and goal oriented Bioinformatics Scientist to support our bioinformatics and statistical analysis leadership as well as novel biomarker discovery derived from Caris proprietary ADAPT Biotargeting SystemTM. These critical roles will work closely with our Bioinformatics & R&D teams to assist in designing experiments, analyzing complex clinical and translational data sets.
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The bioinformatics team leader will apply bioinformatics principles and methods to assist scientists in analyzing, filtering, and processing next-generation sequencing (NGS), genotyping array, and other omics data.
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Seeking a talented and highly motivated Bioinformatics Research Scientist to develop, optimize, and implement data analysis pipelines and analytical tools that enable comprehensive tumor genomic profiling for cancer biology research and cellular senescence biomarker discovery.
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Master’s degree in Computational Biology, Bioinformatics, Applied Mathematics, Computer Science, Electrical Engineering, or other quantitative field preferred. The ideal candidate would have a Masters or above in a quantitative field (computer science, applied mathematics, bioinformatics) as well as knowledge of modern molecular biology and genomics.
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Machine Learning Scientist II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires 4 years of related work experience.
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B.S. degree in computer science, bioinformatics, computational biology, bioengineering, mathematics, statistics, or related discipline. As a Bioinformatics Analyst II, this position will be supporting the Laboratory of Dr. Pallav Kosuri where they will focus on computational method development and application for ongoing research in spatial transcriptomics.
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The Associate Director, Clinical Pharmacology, will be responsible and accountable to lead and execute clinical pharmacology strategies and activities for assigned programs and studies from early through late-stage clinical development and approval, including post marketing activities, and collaborate cross-functional stakeholders including research, DMPK, translational medicine, clinical development, clinical operation, biometrics, regulatory, CMC, and project management.
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Expertise is required in the specific area of statistical genetics, genetic epidemiology, translational bioinformatics, and/or biomedical informatics as applied to human genetics and genomics. Depending on the applicant's credentials, academic appointments are available in the Department of Genetics, the Department of Biostatistics, Epidemiology, and Bioinformatics, or the Department of Medicine, with secondary appointments available as appropriate.
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The Staff Scientist, Bioinformatics will be part of a growing team of bioinformaticians primarily focused on Reproductive Health Technologies. The bioinformatics group plans to use a multi-omics analysis approach to develop analysis solutions for NGS-based assisted reproductive technology assays being developed.
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Bachelors degree (Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science) Bachelors degree (Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science.
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