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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Working knowledge of lab automation, computer validation, data governance, data science, knowledge management and data protection. Oversee and advise data generation / data integrity and ensure compliance and analytical excellence from internal and outsourced testing at contract organizations.
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Interpret and analyze results of Nucleic Acid QC, Real-time PCR, DNA Sequencing and Fragment Analysis data often where few guidelines exist and make modifications to existing procedures and protocols.
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The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
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Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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The successful candidate will provide scientific and technical overview for tissue-based methods that span sample processing, assay development, whole slide scanning, image QC, analysis, and data reporting.
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PhD in computational biology, computer science, data science, physical science, statistics, or a related field with a minimum of 10+ years of relevant work experience. We have an exciting opportunity for a scientific leader with deep analytical and computational expertise in Research Data Sciences at Gilead.
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The ideal candidate will have a mix background with data engineering, data science, and machine learning engineer. Preferable to have data science knowledge and experience in designing, developing and implementing Deep Learning methodologies, and newer ML model implementations at scale.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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Support CZI’s open source and data privacy compliance programs, in collaboration with product counsels and technical teams. Collaborate with leadership across the CZ Science ecosystem to formulate robust IP, tech transfer, and licensing strategies that align with and support broader organizational goals.
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Set the data science vision for RingCentral’s Data & Analytics organization and build the roadmap to drive business results. Evangelize the data science and research function within RingCentral and foster a strong data science community.
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Build data science / machine learning models using internal and external data sources to identify potential new customers, those who are at risk of churn or those with potential upsell opportunities.
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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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You will report directly to the Data Science Leader overseeing our Economy DSA team. The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of our business decisions and to empower and scale product innovations.
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We use data science, genomics, synthetic biology, and automation to discover potent, evolutionarily refined small molecules and their cognate targets from fungal genomes. We use data science, genomics, synthetic biology, and automation to discover potent, evolutionarily refined small molecules and their cognate targets from fungal genomes.
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data science jobs Title: director Company: Oracle in Redwood City, CA
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