Manages technical topics related to the global manufacturing of Drug Product within the scope of VBU Manufacturing Science & Technology.

Independently develops and implements continuous improvement activities for current and future manufacturing sites within the Takeda vaccines manufacturing network and drives change at internal and external sites.

Leads resolution of technical issues related to complex Drug Product manufacturing issues and provides technical leadership related to investigations and CAPA, change controls, and during Health Authority inspections.

Leads technology transfer activities within the scope of Drug Product manufacturing.

Effectively partners with development, manufacturing, engineering, and quality partners in cross-functional governance meetings.

Champion the integration of AI and digital tools into manufacturing troubleshooting and decision-making.

Lead technology transfer projects for vaccine drug products across internal and external manufacturing sites.

formulation, aseptic filling, lyophilization and/or terminal sterilization, visual inspection and packaging operations processes.

Design and execute engineering studies and scale-down models for process characterization.

Lead risk assessments (e.g., pFMEA), deviation investigations, and CAPA implementation.

Collaborate with global stakeholders (CMC, Regulatory, QA, QC, Supply Chain) to ensure alignment and readiness.

Provide oversight and technical support during health authority inspections and audits.





Mentor junior engineers and contribute to technical training and capability building.

Evaluate and implement current technologies and digital tools to enhance process robustness and efficiency.

Leverage AI and machine learning tools at disposal to analyse large-scale process data for trend identification, predictive maintenance, and anomaly detection.

Work with and support implementation of digital twins and smart analytics to enhance real-time process monitoring and control strategies.

Collaborate with data science teams to develop custom algorithms for process improvement and deviation prediction.

Promote adoption of automation and intelligent systems in documentation, reporting, and regulatory submissions.

Stay current with emerging AI technologies relevant to pharmaceutical manufacturing and assess their applicability to vaccine drug product operations.

Leverage AI and machine learning tools at disposal to analyse large-scale process data for trend identification, predictive maintenance, and anomaly detection.

Work with and support implementation of digital twins and smart analytics to enhance real-time process monitoring and control strategies.

Collaborate with data science teams to develop custom algorithms for process improvement and deviation prediction.

Promote adoption of automation and intelligent systems in documentation, reporting, and regulatory submissions.

Stay current with emerging AI technologies relevant to pharmaceutical manufacturing and assess their applicability to vaccine drug product operations.

Telangana, Virtual

Full time

📌 Senior Process Engineer- Manufacturing (Secunderabad)
🏢 Takeda
📍 Secunderabad