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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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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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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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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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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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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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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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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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Assisting the Head of Sustainability and ESG Task Force to execute against the Sustainability strategy with data gathering/analysis & PMO (project management) support o Gather, format, and model global data to support regulatory requirements (e.g., Scope 3 data from various LivaNova systems / stakeholders and formatted per EPA assumptions.
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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. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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Current certifications in any of the following areas: cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Looker, Tableau.
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The Principal Scientist, Bioinformatics Data Science, is a critical contributor to data analytics and engineering focused on accelerating our R&D programs and expanding our FORCE⢠therapeutic delivery platform.
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data job Title: data manager Company: Rackspace Us in Boston, MA
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