Vertex Pharmaceuticals · 1 day ago
Principal Engineer, AutoQC and Data Consumption Solutions
Vertex Pharmaceuticals is a global biotechnology company that invests in scientific innovation. They are seeking a Principal Engineer to lead the Automated Data QC and Reporting Solutions, focusing on modernizing and standardizing data pipelines and reporting processes for pre-clinical research data.
BiotechnologyHealth CareMedicalPharmaceutical
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
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
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 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
Qualification
Required
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
Bachelor's 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
Benefits
Medical, dental and vision benefits
Generous paid time off (including a week-long company shutdown in the Summer and the Winter)
Educational assistance programs including student loan repayment
A generous commuting subsidy
Matching charitable donations
401(k)
Company
Vertex Pharmaceuticals
Vertex Pharmaceuticals is focused on the discovery and development of small molecule drugs for the treatment of serious diseases.
H1B Sponsorship
Vertex Pharmaceuticals has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (188)
2024 (150)
2023 (111)
2022 (164)
2021 (112)
2020 (80)
Funding
Current Stage
Public CompanyTotal Funding
$657.31MKey Investors
Janssen Belgium
2024-07-10Post Ipo Secondary· $1.11M
2022-05-17Post Ipo Equity· $50M
2009-12-03Post Ipo Equity· $443M
Leadership Team
Recent News
2026-01-05
2026-01-05
Company data provided by crunchbase