Principal Engineer, AutoQC and Data Consumption Solutions

** Job Description
** Vertex is a global biotechnology company that invests in scientific innovation. The Data, Technology and Engineering (DTE) Research, Pre-Clinical, Manufacturing & Supply (RPMS) Group’s mission is to improve the lives of patients through digital, data, and technology innovation. Vertex is in a transformational period where we are accelerating our capabilities, technology and data to augment our scientific mission and enable Vertex to grow in scale;

ensuring we remain on the forefront of science, medicine and technology.
** Role Overview
** We are seeking a data driven, scientifically literate, and technically skilled Principal Engineer to serve as the Automated Data QC and Reporting Solutions lead to automate and streamline pre-clinical data pipelines and reporting processes and ensure the accuracy, consistency, and integrity of high impact, high visibility, and business-critical regulatory documents across research laboratories.

We are seeking a data driven, scientifically literate, and technically skilled Principal Engineer to serve as the Automated Data QC and Reporting Solutions lead to automate and streamline pre-clinical data pipelines and reporting processes and ensure the accuracy, consistency, and integrity of high impact, high visibility, and business-critical regulatory documents across research laboratories.

This role will drive the modernization and standardization of data pipelines and reporting processes, ensuring accuracy, consistency, and integrity of high-impact, business-critical regulatory documents across research laboratories. The Principal Engineer will also develop and execute strategies for data consumption solutions and reporting, leveraging advanced technology, agentic workflows, and AI capabilities to modernize and scale data consumption environments.
** Key Duties and Responsibilities
*** Develop and execute modernization and standardization initiatives for automated QC and reporting of research data, ensuring alignment with business objectives and digital transformation goals.
* Lead the development of data consumption solution strategies and reporting frameworks to enable scalable, future-ready, and unified data environments.
* Identify and implement innovative digital and AI-powered technologies, including agentic workflows, to enhance data consumption, reporting, and scientific insight generation.
* Collaborate with cross-functional teams to align global digital QC, reporting, and data consumption strategies across multiple research sites.
** Operational Execution
*** Design, configure, develop, and maintain automated solutions, tools, and workflows for QC, report generation, and standardized data consumption.
* Regularly evaluate and optimize solutions, scripts, and workflows to enhance performance, scalability, and interoperability.
* Identify and prepare raw data files in response to regulatory requests.
* Deliver solutions to automate and digitalize by identifying and preparing raw data files in response to regulatory requests.
* Design, configure, develop and maintain automated solutions, tools and workflows for automated QC and report generation.
* Ensure the accuracy, completeness, traceability and consistency of data across research business-critical documents (e.g. research study reports).
* Ensure generated reports meet formatting, regulatory, data integrity, and quality standards.
* Identify and resolve data discrepancies using automated processes, collaborating with stakeholders.
* Collaborate across our Data Technology & Engineering (DTE) organization and with research scientists to ensure solutions integrate with our broader data platform and data engineering strategy.
* Ensure the accuracy, security, quality and business continuity of solutions in line with Vertex and external data and technology standards.
** Modernization and AI Enablement
*** Drive the adoption of agentic workflows and AI capabilities to automate and accelerate scientific data workflows, reporting, and consumption interfaces
* Develop and deploy AI-enhanced visualization, reporting, and QC interpretation tools.
* Champion the use of cloud-native and unified semantic…