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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Manage and guide AI model developments with LLM, NLP, knowledge graph development, data science, and data engineering elements of AI projects. Strong Python and SQL programming skills with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling, and pipeline automation.
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The ideal candidate has a strong background in data management, is proficient with Lakehouse architectures (especially Databricks), and possesses robust agile Product Management skills using tools like Jira and Confluence.
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Experience with ESG/EHG sustainability software and analytics tools, data management, processes, and controls mapping. Experience managing Scope 1, 2, and 3 corporate Greenhouse Gas (GHG) inventory data, sustainability KPI measurement, reporting, and assurance.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Expertise in one of the following: in vitro data analysis and phenomics, network and systems biology, mechanistic modeling and simulation, knowledge analytics, deconvolution and causal inference, integrative analysis of multi-modal data, real-world evidence, and survival analysis.
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Skills: Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and data warehousing. Proficient in SQL, Python, and data visualization tools like Looker or Power BI.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role requires expertise related to machine learning, multi-omics data analysis & integration, database design, next-generation sequencing (NGS) data and a background with protein-based drug modalities.
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The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
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About the Role: Were on the hunt for an Entry-Level Practice Group Associate (PGA) with a passion for immigration law to join our client's team. Entry-level candidates with business immigration experience will be considered.
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Assist with data collection and documentation that is reported to the New England Donor Services (NEDS) & the United Network for Organ Sharing (UNOS). Proficiency with electronic data collection and documentation.
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Proven experience in AI, machine learning, or data science, with a focus on applications in drug discovery, bioinformatics, or healthcare. Collaborate closely with cross-functional teams, including biology, chemistry, and data science, to drive software projects that meet the needs of drug discovery research.
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Experience in safety data review, adverse event analysis, and signal detection. Conduct thorough review and analysis of adverse event reports, medical literature, and safety data to identify any potential safety concerns.
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Experience with OMS and EMS workflows, market data platforms and trading venues. We're seeking a future team member for the role of Senior Vice President, Equity Trader to join our Buy Side Trading Solutions Team. This role is located in Boston, MA - HYBRID.
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data entry jobs Title: mammography in Boston, Wells, Nevada
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