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3+ years of experience in leading a senior team of scientists and computational biologists with a strong academic background, as well as complex multi-disciplinary core teams. 7+ years of industry experience leading the development of cutting-edge computational and analytical methods aimed at deriving critical or novel insights from advanced molecular data, including but not limited to next-generation sequencing data.
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BS or MS in bioengineering, bioinformatics, biomedical computation, computational biology, biostatistics or related field. We are looking for a Computational Biology Research Associate to join our collaborative and interdisciplinary R&D team.
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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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This is an exciting opportunity to be at the forefront of computational biology research in immuno-oncology, driving impactful discoveries in cancer research. We are seeking an experienced Computational Scientist to support cutting-edge research in our clients Immuno-Oncology department.
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PhD in Linguistics or Romance languages, language technologies, computational linguistics, speech science, or related field. Master’s degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field.
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The Cancer Immunogenomics team in the Computational Biology and Translation Pillar of Computational Sciences (CS) is seeking a talented and highly motivated Computational Scientist with a strong analytical background in computational biology and immuno-oncology, particularly focusing on T cell biology.
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Collaborate with other linguists and data operations teams in data collection, data curation, translation, localization and annotation efforts. We are seeking candidates with native or near-native fluency in Spanish (MX) with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, translation-localization and ML model improvements.
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Ph. D. in Computational Biology, Systems biology, Bioengineering or related field. This position will collaborate extensively with scientists in other departments in particular Computational Sciences, Developmental Sciences, Neuroscience, Regenerative Medicine and Human Genetics.
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Familiarity with data management and visualization tools and collaborating with computational biology to analyze complex data sets emerging from clinical trials. Abbvie is seeking a highly motivated and experienced translational scientist to lead a team of senior scientists accountable for driving the development, planning, and execution of the clinical translational research and precision medicine strategy across the rheumatology drug pipeline at Abbvie.
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We couple unprecedented efficiency in enzyme engineering with state-of-the-art computational modeling to develop high-performing enzymes for recycling. From building new and improved DNA constructs, to beating our company all-time records of enzyme variants screened per week, you will work closely with us to implement and expand our workflows for identifying enzyme variants with improved activity towards polyester-cotton fabric.
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As a Cartographer, you will be exposed to cutting-edge molecular biology and computational methods development and have opportunities to learn, grow, and diversify your skillset. Assist in the development of presentations for senior management and the Board of Directors.
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Computational: Preferred but not required to have proficiency in bioinformatics including statistical programming language (R, python, etc.) We are seeking a talented and motivated molecular biologist to join our Deep Biology team reporting to the Senior Scientist who is leading GenEdit’s efforts to develop and apply DNA barcoding technologies for efficient and high throughput measurement on non-viral vector distributions across organs, tissues and cell types in small and large animals.
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Machine Learning Engineer, Genentech Computational Sciences / Computational Catalysts / Scientific Insights Engineering. At Genentech Research & Early Development (gRED) we have initiated an exciting journey to bring together and further strengthen our computational talent and capabilities by forming a new, central organization - gRED Computational Sciences (gCS.
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You have insatiable curiosity, including for understanding the role of generative AI, machine learning (and other computational approaches), and data at scale to transform drug discovery and development.
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Immediate need for a talented Linguist III. This is a 09+ months contract opportunity with long-term potential and is located in Burlingame, CA (Remote). Key Skills; SQL, Python, Native Italian Speaker.
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computational job Title: senior fellow in Burlingame, CA
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