JOB RESPONSIBILITIES :

- Partner with formulation/API and process engineering teams through hands on efforts in Developing detailed product and process understanding at lab/pilot scales on various complex products using a combination of basic chemical engineering principles, process modeling, PAT tools, QbD & risk assessment approaches, leading to better process robustness & manufacturability while meeting the delivery timelines

- Translating learning to plant level scale-up trials by partnering with - Go to Plant- teams

- Provide technical guidance based on scientific rigor to the team as a proactive problem solver

- Process enhancements: Ability to identify improvements in terms of technology, engineering enhancements to improve process robustness of key products

- Industrial Automation and Control System Security Compliance

Partner with ITBPE and undertake periodic security assessment to ensure compliance with ISA99.

- Support Productivity Improvement Initiatives

- Scale up, Batch Recipe Transfers and Batch Simulation, Continuous Process Verification (CPV) -Tools for tracking of Equipment Performance/Reliability

- Verification of Automation Control Strategies & Support New Manufacturing Technology Adoption

- Control Loops, Product/In-process material transfers, Equipment acquisition/release, Batch Recipes and OEE Report developments.

- New installation and commissioning support

JOB REQUIREMENTS:

- Bachelors/ Master's degree from a recognized university in one of the following disciplines: Chemical Engineering, Mechanical Engineering, with significant experience in plant operations ; minimum GPA 7.5 and above

- Proficient with Python including Pandas, NumPy and Scikit-learn. Open Source Timeseries Databases, SQL, No SQL Databases

- Process modelling - Ability to translate process engineering knowledge into appropriately-detailed models using commercial flow sheet simulation software (steady-state as well as dynamic). Balances level of detail vs. robustness and solution speed. Formulation, solution, validation, and analysis of constrained data reconciliation and economic optimization problems. Knowledge of equation-based modelling techniques is a plus.

- Process control - Sound understanding of base layer and advanced process control and the impact of control system structure and status on the behaviour of process units.

- Proven record of delivering process engineering technical services and support to end-users. Understanding of technical software development, from concept through requirements setting, design and build phases.

- Proficiency in Steady-State modelling and Real-Time Optimization using one or more of PRO/II, Aspen Engineering Suite, Unisim Design, ROMeo / ARPM Technology.

- Proficiency in Dynamic modelling using UniSim Design and/or DYNSIM

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