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Perform deep-dive analyses using SQL & Python, leveraging data science and big data tools to garner actionable insights and identify and clean complex data quality issues. Bachelor’s degree (Statistics, Math, Computer Science, or related field) and a minimum of 2 to 5 years related experience and/or training; or equivalent combination of education and experience as a data engineer/analyst/scientist.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Understanding of biomedical/biomarker data and/or other life science data. Rancho Biosciences is seeking a data curator with a solid foundation in life science for a full-time role with the company.
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Required Qualifications: PhD in Bioinformatics, Computational Biology, Data Science, Machine Learning, or a related field. If you are passionate about using cutting-edge bioinformatics and data science techniques to make a difference in drug discovery, we encourage you to apply.
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Develop and implement a comprehensive data strategy that includes all aspects of data quality, data governance, data management, information strategy, and data science.
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Master’s degree in Bioinformatics, Computational Biology, Biostatistics, Data Science, or related field with 3-5 years’ experience working directly with metabolomics and other -omics data.
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Minimum of one (1) year of experience with strong domain knowledge in data science and informatics with a focus on experimental data interpretation and specimen management. Degree requirement: PhD in Computational Biology, Bioengineering, Applied Mathematics, Bioinformatics, Cheminformatics, or a related discipline with a multidisciplinary focus on computational science.
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Experience with cloud-based data storage, analytics & data science platforms. Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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PhD in a relevant discipline such as computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc.
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Bachelor's or Master's STEM degree - computer science, data science, economics, mathematics, actuarial sciences, engineering, or physics preferred. Use client data and industry losses to perform model validation processes that enhance KCC's latest catastrophe models.
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We are seeking a dedicated Machine Learning Engineer with a passion for data science, to lead and manage our critical Machine Learning and Artificial Intelligence Platform. You will work closely with data scientists and software engineers to scale the Vertex Data Platform, which is Vertex’s cutting-edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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Bachelor’s degree in Economics, Business Statistics, Data Science, Computer Science, or a related field. Seismic’s annual base salary range for this position will vary based on applicant’s location, experience, job level, skills, and abilities as well as internal equity and alignment with market data.
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We seek candidates with backgrounds in biostatistical theory and methods and/or machine learning and data science, with demonstrated expertise in the development of new methods as well as a record of collaborative research.
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data science jobs Title: diego Company: Feed in South Boston, MA
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