Principal Engineer, AutoQC and Data Consumption Solutions

Principal Engineer, AutoQC and Data Consumption Solutions

Principal Engineer, AutoQC and Data Consumption Solutions at Vertex Pharmaceuticals
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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.

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

• Develop and execute modernization and standardization initiatives for automated QC and reporting of research data, aligned 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.

• 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.
• Ensure the accuracy, completeness, traceability, and consistency of data across research business‑critical documents.
• Ensure generated reports meet formatting, regulatory, data integrity, and quality standards.
• Identify and resolve data discrepancies using automated processes, collaborating with stakeholders.
• Collaborate across the DTE organization and with research scientists to ensure solutions integrate with the 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.

• 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 consumption layers for scalable data access and analysis.

• Partner with scientists, statisticians, and program representatives to understand reporting and QC requirements.
• Partner with DTE leaders to understand and deliver technical requirements.
• Provide leadership and training to a team of super users on automated QC and report generation workflows to ensure business continuity.
• Develop a sustainable suite of solutions that minimize future training.
• Deliver solutions and insights with clear and actionable QC and reporting summaries to stakeholders.

• Experience designing and implementing data and technology solutions in life sciences research and development.
• Advanced programming skills in R, Python, and experience with database access, query, and large dataset interrogation.
• Expertise in agentic workflows, AI/ML technologies, and cloud‑native platforms for data engineering and reporting.
• Proficiency in evaluating and implementing new tools and technologies, including AI and agentic workflows.
• Proficiency in data management and automation principles and…