Data Architect

4 weeks ago

Carlsbad California, United States Exagen Inc. Full time
About Exagen Inc.

Exagen Inc. is a patient-focused and discovery-driven life sciences company dedicated to transforming the care continuum for patients suffering from debilitating and chronic autoimmune diseases.

Job Summary

The Data Engineer role is responsible for planning, developing, and maintaining the research and development data infrastructure, consisting of multiple database architectures. This role is a member of the bioinformatics team, working to ensure database integrity while automating systems to ingest data from various data sources.

Key Responsibilities
  • Create and maintain data pipeline architecture, maintaining comprehensive documentation of data sources, data flows, and data models.
  • Scope and develop process improvements, including automation of manual data ingestion processes.
  • Develop and maintain data governance procedures, ensuring data quality, consistency, and governance through the implementation of data standards and best practices.
  • Collaborate with various teams (Laboratory Information Systems, Clinical Affairs, Research & Development, and Billing) to prioritize, plan, and execute project tasks aligned with company objectives.
  • Manage data security within R&D data systems using best practices.
  • Coordinate with bioinformatics team to execute data curation for statistical analysis and associated documentation.
Requirements
  • Expertise in SQL using SSMS and MySQL, including TSQL for updating tables, inserting data, and creating views.
  • Proficiency in understanding database structures through information schemas and primary keys.
  • Knowledge of database maintenance best practices and the ability to execute them.
  • Skill in manually normalizing data and automating data imports into appropriate tables.
  • Ability to collaborate with various teams to understand and implement their projects within the desired timeframes.
  • Data Visualization: Create dashboards and reports using tools like Power BI.
Preferred Qualifications
  • Competence in using MirthConnect/JavaScript and handling various file types (.csv, XML, JSON) for data transfer and transformation.
  • Experience with Python or R programming for data manipulation, analysis, and automation.
  • Experience working with biological data, including familiarity with handling large, complex datasets in different units and formats typical in research or clinical environments.
Compensation

Pay range: $43.27/hr - $52.88/hr

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