Vertex is seeking a Principal Engineer to automate and streamline pre-clinical data pipelines and reporting processes to ensure the accuracy, consistency, and integrity of high impact, high visibility, and business-critical regulatory documents across research laboratories.
Requirements
- Expertise in at least one or more programming languages including R and Python.
- Expertise in interrogating large datasets via database access and query.
- Proficiency in data management and automation principles and methodologies.
- Understanding and experience of designing and implementing data and technology solutions in life sciences research and development.
- Familiarity with data quality and reporting requirements in a regulated environment.
- Proficiency in digital platforms and technologies, with the ability to evaluate and implement new tools and technologies.
- Proven track record of leveraging data engineering, software engineering and or data science skills to automate reporting.
Responsibilities
- Design, configure, develop and maintain automated solutions, tools and workflows for automated QC and report generation.
- Regularly evaluate and optimize solutions, scripts, and workflows to enhance performance and scalability.
- 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.
Other
- Develop and execute the data and technology initiatives for automated QC and reporting of research data, ensuring alignment with business objectives to deliver a digital transformation with q the velocity of highly impactful data packages and reports.
- Identify and implement innovative digital technologies to improve capabilities, ensuring scalability and future readiness.
- Collaborate with cross-functional teams to align global digital QC and reporting strategies across multiple research sites.
- Partner with scientists, statisticians, and program representatives to understand reporting and QC requirements.
- Provide leadership and training to a team of super users on automated QC and report generation workflows to ensure business continuity.
