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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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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Support analytics team to execute data strategy and review analytic scripts (Python, Databricks, SQL, ACL). 1+ year(s) of experience in Excel, ACL, Python, SAS, Alteryx, R, SQL, or other advanced analytical programs.
$66,000 - $127,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have Tools: Selenium, Client Load Runner, TOAD for Oracle 12.6, Python, Oracle SQL Developer 18.2, PL/SQL, UNIX, AWS, FileZilla, Microsoft Visio, WinSCP, Java, MS Office, Atlassian JIRA, Putty, COGNOS.•Prior experience working in healthcare or government setting with a strong knowledge base in healthcare insurance principles, eligibility, and Medicaid Management Information System (MMIS.
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Identify and analyze new fraud detection features using SQL, Databricks, and Python. We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square.
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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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The Massachusetts General Hospital (MGH) Corrigan Minehan Heart Center and Cardiovascular Research Center is seeking a highly motivated Statistical Data Analyst to work on multiple clinical and translational research projects focused on cardiovascular disease.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
$165,100 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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2 years: Performing ETL/ELT and SQL coding (using tools such as dbt, Azure Data Factory, Matillion, SSIS/SSMS, Tableau Prep Builder) within a cloud-based data warehouse (such as Snowflake, Oracle, BigQuery, etc.
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Experience with mixed methods data, and knowledge of SAS, SPSS, Stata, R or another statistical program is strongly preferred. Conduct research and data analysis to support the Department of Justice and answer pressing criminal justice research questions.
$90,000 - $130,000 a year (equity)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
$103,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities Write SQL to query Snowflake to assess operational performance and data quality issues. Build python data pipelines using AWS lambda and chalice to ingest blockchain data from various APIs. CDK knowledge is a plus.
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Extensive experience with data mining, text mining, systems biology and network analysisExcellent programming knowledge and experience with cloud computing and command line expertise in R, SQL, Perl, Python and proficiency in Linux environment.
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We are looking for a seasoned Senior Data Engineer with a strong foundation in SQL, Python, and modern database engineering practices to join our team. Expert-level knowledge of SQL and Python, with a strong understanding of best practices in coding, data manipulation, and optimization.
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Expert in data services design, Secure by Design concepts, Microservices, Structure SQL and other query patternsCloud Infrastructure architecture, Containerization / KubernetesSecure DevOps; Application Performance Monitoring (APM) techniques; SDLC – Agile / Hybrid / WaterfallExperience with building solutions with Databricks.
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data sas sql jobs Title: data analyst in Boston, MA
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