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Join Takeda as a Lead Data Engineer RDBU where you will help shape and implement the vision across US stakeholders leveraging innovative data, digital, and technology solutions to support the Rare Disease Business Unit. Guided by modern, cloud-based technologies and applying best practices, they will closely collaborate with the DD&T and the RDBU I&A teams to deliver and maintain effective solutions and help drive adoption.
$209,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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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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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Data Risk & Privacy - Data Governance - Data Modeling / Ontologist & Knowledge Engineering - Manager
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EDM Council DCAM Certified Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Certified Data Management Professional (CDMP) We focus on assisting organisations manage vast amounts of electronic data and navigate the legal and business processes demanded by critical events, which includes litigation, regulatory requests and internal investigations.
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In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.
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Demonstrated domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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Research is supported by the National Heart, Lung, and Blood Institute, American Society of Nephrology and the BWH Khoury Innovation Fund. Under the supervision of the Principal Investigator and research staff, the Research Analyst Intern will conduct analyses with and develop pipelines for various types of omic data as well as clinical datasets from epidemiologic studies and clinical trials.
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5+ years industry experience using computational biology to discover biological insights from molecular data in immunology or an immunology-related field is required. Strong technical expertise analyzing cellular genomics data including single cell sequencing and spatial ‘omics data types is required.
$232,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our research team is based at the Broad Institute of MIT and Harvard, with members in the Data Sciences Platform, Program in Medical and Population Genetics, and Stanley Center for Psychiatric Research, and in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) and Harvard Medical School.
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One Medical is seeking a highly skilled Sr. Manager of Medical Economics to join our Medicare Population Health Programs (MPHP) team to lead the team’s overall Value-based Care data, analytics and evaluation strategy.
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We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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Leadership Competencies and Personal Traits: Creative Thinker and Storyteller: Passionate about crafting big ideas and effective content experiences that inform, engage, and motivate audiences.
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Experience working with and reporting on syndicated prescription data, field force execution, and related national Wholesaler data sets (e.g. IQVIA, Veeva CRM, 852/867, HUB, SP Dispense) Advanced Excel skills required (advanced lookup functions, pivot-tables, and data management.
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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. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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big data jobs Company: Yum Brands in Cambridge, MA
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