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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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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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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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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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Experience with deep learning, data science, and NVIDIA GPUs. Experience in two or more data estate workloads such as: Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL or HDInsight, etc.
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Scientist/Sr. Scientist Data Curator - Life Sciences Full-time remote position 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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Hold a Bachelor of Science Degree in a chemical, physical or biological science and 4+ years of experience in a molecular clinical laboratory, OR. Hold a Master of Science in Chemical, Physical or Biological Science and subsequent to graduation at least 2 years of molecular clinical laboratory experience.
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Design standard processes for analytical platforms, data engineering, data quality and governance, data science and Machine Learning (ML) methodologies. The Director of Enterprise Data Systems (EDS) must have a deep technical background in data and analytics to shape enterprise data strategy and offer insightful data solutions to business partners.
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Tracks emerging study data and works closely with data science team to ensure the effectiveness of tools and data quality. o Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave.
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This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to develop AI-based solutions by developing advanced AI models and technologies with Natural Language Processing(NLP), Large Language Model(LLM) and Machine Learning(ML), and developing 401K Plan Knowledge Graph and Ontology to enable high performance of the AI models.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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data science jobs Title: san diego Company: Feed in Boston, MA
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