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Job DescriptionWe are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.
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Internal Role Title: AD and Senior Principal Scientist, Data Science. This involves applying and developing predictive models based on high-content and time-resolved screening data, including imaging techniques.
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Demonstrated experience with predictive analytics, Tableau, SQL, PowerBI and data visualization tools. Reporting to the Vice Provost for Education, the Associate Vice Provost for Data Analytics and Decision Support (AVP DDS) will be recognized as a senior leader charged with building a culture of data-informed decision making within Tufts through championing and collaborating with campus stakeholders.
Starting at $164,900 - $206,150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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The successful candidate will join the Model Risk Management and Validation Group (MRM&V).
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Principal Scientist, Protein Production and Process Development. The incumbent will interface with internal preclinical Immunology, Protein Modality, and DECODE platform teams, as well as the internal CMC Leader, to provide protein reagents and protein leads, including data packages supporting Development Candidate nomination.
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Development and implementation of advanced data analytics and state-of-the-art machine learning models to generate insights from proteomics (ABPP) data, protein structure, and protein dynamics to enhance target prioritization and structure-based drug design efforts.
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Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc. Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes and Databricks Delta Lake. Ensure data quality and integrity throughout the process.
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Design and execute in vitro and in vivo research plans to deliver high quality data-driven package and enable project decisions. Ability to lead a project and plan ahead, be well organized and effectively use resources to execute experiments and deliver high quality data in a timely fashion.
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The Scientist, Analytical Development & Quality Control is responsible for analytical development, feasibility, method qualification, routine, and stability testing of antibody drug conjugates and intermediates.
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The Alloy Global Bioanalytics group provides bioanalytical support to all Alloy activities, including assay development, quality control and high-throughput characterization of antibodies, TCRs, TCR mimics and.
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The Alloy Global Bioanalytics group provides bioanalytical support to all Alloy activities, including assay development, quality control, and high-throughput characterization of antibodies, TCRs, TCR mimics, and other modalities.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Master Data Management / Data Quality Management / Governance Collibra, Atacama, Alation, Reltio etc.
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Independently design and execute in vivo experiments, analyze data and interpret results and present data to relevant stakeholders: Knowledge of data analysis programs such as GraphPad PRISM, MicroSoft Excel Fit, FlowJo FACS analysis, Nanostring transcriptome analysis and Softmax Pro and/or other equivalent software.
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This role is for a Senior Data Scientist on L.E.K.'s rapidly growing Data & Analytics team. Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.
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data scientist quality source predictive analytics jobs in Boston, MA
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