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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
$99,900 - $166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ElevateBio ecosystem combines multiple R&D technology platforms – including Life Edit, a next-generation, full-spectrum gene editing platform; comprehensive cell engineering technologies; and an expanded viral and non-viral therapeutic delivery platform – with BaseCamp, its end-to-end genetic medicine cGMP manufacturing and process development business, to accelerate the discovery and development of advanced therapeutics.
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Required Skills: Proficiency in programming languages - Java, JavaScript frameworks (Angular / React),Python (Current generation front-end and back-end languages) Cloud-native and agnostic designs and architectures across AWS and Azure AWS Stack – S3, Glue, EMR, Redshift, DynamoDB, Kinesis, Lambda, Athena etc.
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When you begin your job with us working on the front-end as a courtesy clerk, customer service associate, or cashier, you are taking a step towards an opportunity that can help you learn, grow, and even develop a long-lasting career.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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3+ years of experience authoring front end components in a major front-end framework (React, Vue, Angular, Svelte, Lit), with React preferred. Design and implement well-documented RESTful APIs to serve front end applications.
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Works with the Executive Director on revenue enhancements and process improvement projects and facilitates the resolution of complex issues impacting compliance, revenue and daily front end processes within the Mass General Brigham and Faulkner Prior Authorization Team and Denials and Appeals Departments.
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Ideal candidates will possess: Familiarity with analyzing oncology clinical dataFamiliarity with DBT workflowsFamiliarity with creating and maintaining BI dashboards; Looker experience nice to haveFamiliarity with machine learning techniques, with an understanding of the strengths and limitations of various approachesProficiency in navigating large, complex problems within a fast-paced environment.
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As the tech lead, you will have technical ownership over the full EFL stack: Mobile front-end UI customization for use in emerging economies -> systems and database infrastructure -> back-end asynchronous scoring systems -> integrating mobile, social, and GIS data into EFL’s product -> building integration platform and framework for plugging EFL into other fintech platforms.
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Working knowledge of energy management systems (EMS), battery cell technologies, power conversion systems (PCS), system integration, and long-term service agreements (LTSA)Working knowledge of large-scale, front-of-the-meter edge solutions and requirements for meeting NERC CIP compliance.
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Proficiency with relevant software or programming languages, e.g. MATLAB, SIMCA, gPROMS, DeltaV, OSI PI, R/R Shiny, Python, machine learning libraries. Proficiency with relevant software or programming languages, e.g. MATLAB, SIMCA, gPROMS, DeltaV, OSI PI, R/R Shiny, Python, machine learning libraries.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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As a FOH Team Member, you will welcome & greet guests, take and prepare customer orders in either the front counter or drive-thru, maintain cleanliness in the counter and dining room, observe health and sanitation guidelines, and ensure each guest leaves with a smile.
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User Support and Issue Resolution: Act as a primary point of contact to troubleshoot and resolve HR system issues, providing timely support to HR and business end-users, and effectively triaging post-production support tickets in JIRA or ServiceNow.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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machine front end jobs Company: Amazon Web Services Aws in Cambridge, MA
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