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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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Must have 2 years of experience reviewing requirements; developing and working with data models, data warehouses, data pipelines, scripts, files, queries; performing unit testing; using ETL, Agile, Rest API, PL/SQL, RDS, Jira, Oracle, SQL Server, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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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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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.
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Interact with members of the High Energy Solar-Stellar X-ray Group (SSXG) at SAO and other scientists and support staff for SSXG flight programs, to define and carry out scientific analyses, take part in data reduction and analysis, generate requirements and specifications for scientific programs, develop analysis plans, analyze and review scientific data and observations, and correct or enhance the data analysis system.
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You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics. + In-depth experience analyzing NGS data including B-cell receptor and antibody repertoire sequencing data.
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Risk Management: Identify potential risks and proactively implement mitigation strategies to ensure system stability and data security. Proven experience (5+ years) in software engineering, with expertise in Python, Airflow, Snowflake, and AWS. Strong leadership and managerial skills, with a track record of successfully leading and mentoring engineering teams.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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The ideal candidate will have extensive experience in MS SQL Server PL/SQL Medidata Rave RAVE Rave Custom Functions Rave Data Model and Rave Integration. Required skills : MS SQLServer, PL/SQL Medidata Rave, Rave Custom Functions, Rave Data Model and Rave Integration.
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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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Maintain awareness of marketplace activities, policies, trends, technology, new data sources and information affecting the business and organization to drive continued improvement of Genomics driven biomarker data.
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Data Migration: Plan and oversee the migration of QMS data from TrackWise to Veeva QMS. This role requires a deep understanding of both the business and IT aspects of Quality Management Systems (QMS), particularly in migrating data from TrackWise to Veeva QMS. The SME will play a critical role in responding to RFPs with technical approaches, crafting solution proposals, and leading significant implementation projects.
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Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift Nice-to-have skills: Previous biotech/ pharma experience Master Data Management and Governance Big Data, Data Analytics TOGAF, Architectural frameworks (TOGAF is an architectural framework like ZACHMAN, UAM, others) Share.
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Projects will include data-intensive federal government projects focused in social science and public health research. Skills and experience in statistics, data analytics, and data management languages such as R, Python, Stata, SQL, etc.
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The HRIS Analyst will be responsible for supporting our HRIS (Workday) to ensure data accuracy, system integrity, and optimal functionality. Conduct regular audits and assessments of HR data to ensure compliance with policies, regulations, and data security standards.
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data job Company: Joveo Us in Lexington, MA
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