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) Groups 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 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 consumption layers for scalable data access and analysis.

Collaboration and Communication

• Partner with scientists statisticians and program representatives to understand reporting and QC requirements.
• Partner with DTE leaders to understand and deliver to data and 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.

Required Knowledge and Skills

• 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 methodologies.
• Knowledge of statistics data visualization and scientific reporting.
• Familiarity with data quality reporting and compliance requirements in regulated environments.
• Excellent collaboration interpersonal and communication skills with the ability to present complex technical concepts to diverse audiences.
• Strong analytical problem-solving and decision-making skills using data-driven approaches.
• Strong collaboration and inter-personal skills.
• Proven track record of working in a complex fast-paced environment.
• Willingness to travel as needed (up to 10%) to support business objectives.

Required Education and Experience

• Bachelors degree in a relevant field such as Computer Science Data Science Engineering or a related discipline or equivalent experience; advanced degree preferred.
• 5 years of experience in technical leadership data management or related roles within the biotechnology or pharmaceutical industry.
• Proven track record of leveraging data engineering software engineering and or data science skills to automate reporting.
• Proficiency in digital platforms and technologies with the ability to evaluate and implement new tools and technologies.
• Proven track record in leading digital transformation modernization and standardization initiatives.

#LI - Hybrid

Pay Range:

Disclosure Statement:

Flex Designation:

Flex Eligibility Status:

In this Hybrid-Eligible role you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertexs Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Hybrid

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a persons race color sex gender identity or expression age religion national origin ancestry ethnicity disability veteran status genetic information sexual orientation marital status or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager or contact Talent Acquisition at