CMC digital domain software engineer

For the contribution of people’s health, we are looking for a CMC Digital Domain Software Engineer to design, build, integrate, and continuously improve digital solutions and data capabilities supporting CMC research, development, technology transfer, and manufacturing.

This role will work closely with CMC business functions, Digital/Technology teams, product managers, architects, and external partners to translate business and scientific needs into reliable, scalable, and maintainable digital solutions.

The role will contribute to the implementation and integration of CMC platforms and data capabilities, including PLM/PIMS, ELN, Veeva Vault, Databricks, analytics solutions, and AI-enabled applications. The engineer will have a strong focus on system and data integration, software engineering, data engineering, technical configuration, testing, deployment, issue resolution, and lifecycle management.

The position will work as part of a global CMC Digital organization, collaborating with stakeholders across regions and functions.

* Responsibilities and Accountabilities:

• Design, develop, configure, integrate, test, deploy, and maintain CMC digital solutions and data capabilities.
• Translate functional and business requirements into technical requirements, solution designs, integration specifications, and implementation approaches.
• Implement and enhance CMC platforms and solutions such as PLM/PIMS, ELN, Veeva Vault, and related life-science applications.
• Design and implement data integration between CMC source systems, laboratory systems, enterprise applications, and data platforms such as Databricks.
• Develop and maintain APIs, ETL/ELT processes, data pipelines, interfaces, and reusable integration components.
• Support development of structured and reusable CMC data through data models, metadata, data-quality controls, lineage, and appropriate access-control mechanisms.
• Develop or support analytics applications and dashboards using technologies such as Power BI.
• Participate in the technical evaluation and implementation of emerging technologies, including Generative AI, RAG, AI Agents, and AI-enabled applications.
• Perform technical analysis and troubleshooting of application, integration, data, performance, and environment issues and implement appropriate solutions or workarounds.
• Develop and maintain technical documentation, including solution designs, interface specifications, configuration documentation, test evidence, and operational documentation.
• Apply software engineering practices including version control, code review, automated testing, CI/CD, monitoring, and release management, where applicable.
• Support technical delivery across the solution lifecycle from PoC and pilot through production deployment, operation, enhancement, and scale-up.
• Collaborate with enterprise architects, data engineers, platform teams, cybersecurity teams, and external vendors to ensure technical solutions align with enterprise standards.
• Support computerized system lifecycle, validation, security, data integrity, and compliance activities where applicable. …