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The LGR is in search of a motivated computational biologist/bioinformatician, who will use their skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems to apply computational and statistical methods to analyze and interpret data obtained from the next generation of functional genomics screens.
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Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field. Knowledge of Computational Linguistics.
$176,800 - $265,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, or related fields.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Who you areYou have a PhD in bioinformatics, biostatistics, computational biology or similar. You have experience with some of these types of high throughput molecular assays: next-generation sequencing (WES, RNAseq, ATACseq), flow cytometry, etc.
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You have a PhD or equivalent experience in computational biology ( e.g. Bioinformatics, Computer Science, or related technical field). You will regularly publish in top-tier ML, computational biology venues and/or scientific journals, presenting results at internal and external scientific venues, conferences, and workshops.
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4+ years of work experience in one or more of the following areas: environmental sciences / computational sustainability / climate change initiatives, including decarbonization initiatives, such as alternative fuels (e.g., hydrogen, sustainable aviation fuel, renewable natural gas), batteries, building materials (e.g., concrete and steel) and methodologies / tools for target settings, and key environmental intelligence initiatives, such as climate risk analytics.
$141,600 - $275,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
$85 - $92ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
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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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The process involves computational modeling in Grasshopper to generate intricate geometries, followed by robotic fabrication using techniques that optimize printing efficiency and ensure precision.
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Position Description:Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics.
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Advanced degree in a computational field such as: computer science, math, linguistics, statistics, economics, or equivalent experience. We are hiring a full-stack data scientist to support our LLM efforts and AI innovation located in San Francisco.
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Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
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MINIMUM REQUIREMENTS: Must have a Bachelor’s degree in Economics, Quantitative Finance, Financial Engineering, Computational Finance, or a related field, plus 5 years of progressive, post-baccalaureate related work experience.
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computational job Company: Dale Workforce Solutions in South San Francisco, CA
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10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."