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Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems. You'll work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA and Anthropic to build amazing user experiences that make complex data analysis as easy as asking a question.
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Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data) Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense.
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Proficiency in data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python). The ideal candidate will have strong analytical skills, extensive experience with data visualization tools such as Salesforce CRMA and Tableau, and a deep understanding of fundraising metrics and processes.
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Collaborate closely with other computational scientists and medical professionals, such as physicians and researchers, to design and execute data analysis projects aimed at advancing HPV and HIV research.
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The Data Science Team within Asset Management Technology, Quant Research and Development, is seeking a highly motivated and technically proficient data scientist who is passionate about applying advanced technologies in investment management domain.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Familiarity with data standards, semantics, terminologies, ontologies, g., CDISC, OMOP, NCI, MedDRA, MeSH, RxNorm, OBI, LOINC, UBERON, DOID, or others) is a plus. 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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Implement and optimize NLP model pipelines using frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers, integrating them with existing data infrastructures, including Snowflake for enhanced data management and accessibility.
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The person will work directly with stakeholders across - ESG Investments, ESG Product Strategy, ESG Data and Operations, Client, Product and Regulatory Reporting, and Enterprise Risk Management to understand their data and reporting requirements and to translate requirements into functional specifications for technology partners building/enhancing IT solutions for ESG reporting.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake). The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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The scientist will work on a team with deep expertise in computational biology, data science, genomics, and pharma/biotech partnerships – with the unified goal of deriving maximal value from Caris’ data for external and internal research efforts to advance cancer care.
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Design and manage data models in Snowflake and BigQuery to support business intelligence and analytics. Strong experience with Snowflake , BigQuery , and other data warehousing solutions.
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Design and apply machine learning algorithms and statistics models on complex molecular data, including genomics, metabolomics and proteomics data for research purposes. The Division of Sleep Medicine Epidemiology and Cardiovascular Research in the Department of Medicine is seeking a level II Bioinformatician to work closely with an inter-disciplinary group of scientists and clinicians to play a leadership role in ongoing medical research projects focused on sleep and cardiovascular disorders, including data wrangling, computational programming and bioinformatics analysis to support several projects.
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The Assistant Vice President for Institutional Effectiveness will translate complex data into actionable insights, thereby empowering various departments, including academic affairs, student affairs, student services, finance, and facilities, to make data-driven decisions.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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data job Title: assistant Company: Focusgroupjobs in Boston, MA
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