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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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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Experience with a variety of flow cytometry data analysis and bioinformatic tools, including FlowJo, FCS Express, OMIQ, Cytobank and/or programming with Python or R. Provide support for drug discovery projects through assistance with experimental design, flow cytometry techniques, and data analysis for pre-clinical and clinical studies.
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Expert knowledge in using Bloomberg, and FactSet, similar investments systems, as well as experience to be able to apply expertise to any new investment risk management and accounting related, and order entry systems.
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NGS data, and assembling maps with typical genome/vector software (SnapGene, Genious Prime, ect. Use of scientific databases and applications for data management and analysis (Microsoft Office 365, GraphPad Prism, SoftMax Pro, FlowJo.
$130,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Strong background in using HR data and HRIS products desired and experience producing analytics containing sensitive information and high levels of accuracyExpert level in ExcelExperience with Business Intelligence tools, i.e. Tableau, Domo, etc.
$75,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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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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Members of PTI will be supported with industry-level resources to lead research projects and disseminate their discoveries and innovations to the broader biomedical community through frequent publications, presentations, and submissions to public data portals.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Experience with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and data modeling techniques. Experience with Function apps (AWS Lambda or Azure Functions)Experience with modern python web applications/apis (Flask, Django)Familiarity with cloud services (AWS, Azure, Google Cloud) and their data-related offerings Proven ability to architect and manage scalable, high-availability database systems.
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Demonstrated experience with data analytic tools (Alteryx, PowerBI, Qlik, Tableau) Ability to critically analyze data in an efficient way, using data analytic tools where applicable Ability to present data in a clear and easy to understand, actionable format, to allow senior leadership to make informed decisions Strong systems skills in SAP, expert Excel and solid PowerPoint skills.
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The NLP data scientist serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated NLP and ML solutions for large scale data analyses, model development, model validation and model implementation.
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Experience in incident management, capacity planning and advanced monitoring with focus on Data & Analytics platforms of Azure Databricks, Snowflake, ADLS, ADF etc. As a Sr Staff Engineer you will collaborate with the development, security and architecture teams to deliver robust, stable and secure Data & Analytics solutions.
$159,101 a yearFull-timeExpandApply NowActive JobUpdated Today
data entry jobs Company: Gardaworld in Needham, MA
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