Dr. Reddy’s Careers: Process Engineer Role | Chemical Engineers Apply Now
Are you looking for a high-impact Process Engineer opportunity that blends process science, analytics, and cutting-edge pharmaceutical manufacturing? This Process Engineer – PAT role at Dr. Reddy’s Careers is an excellent choice for professionals exploring advanced Chemical Engineering Jobs and engineering roles within a globally recognized pharmaceutical leader.
About Reddy’s Laboratories
Dr. Reddy’s Laboratories is a global pharmaceutical leader known for its commitment to innovation, quality, and patient-centric solutions. With operations in 60+ countries, the company offers rewarding opportunities through Dr. Reddy’s Careers, attracting top talent in Chemical Engineering Jobs, Process Engineer Jobs, and advanced Pharmaceutical Jobs. Guided by the purpose Good Health Can’t Wait, Dr. Reddy’s focuses on cutting-edge research, high-quality manufacturing, and sustainable growth. The company is dedicated to expanding access to affordable medicines while fostering a diverse and inclusive workplace that empowers employees to thrive and contribute to meaningful healthcare advancements.
Job Details
- Job Post: Process Engineer- PAT
- Location: Hyderabad, India
- Education: B.E./B.Tech/M.Tech/M.S. in Chemical Engineering, Biotechnology, or Pharmaceutical Engineering.
- Experience: 3-6 years in process development or manufacturing within peptide, oligonucleotide, or small-molecule environments, with a proven record of accomplishment in PAT and chemometrics implementation
Role Summary
The Process Engineer – PAT will lead and support the design, deployment, and lifecycle management of PAT solutions across peptide, oligonucleotide, and small-molecule drug product manufacturing platforms, with a special focus on organic synthesis, crystallization, and formulation operations. The role bridges process science, advanced analytics, and digital control systems to enable real-time process understanding and predictive control, aligned with Quality by Design (QbD), ICH Q8–Q14, and digital twin frameworks.
Key Responsibilities
1. PAT Strategy & Implementation
- Identify and implement suitable PAT tools end-to-end in the R&D developmental workflow (Drug substance to Drug product) and transfer critical PAT tools to the manufacturing plant at a commercial scale.
- Develop calibration and chemometric models (PLS, PCA, ANN) for real-time release or feedback control.
- Collaborate with the automation team to integrate PAT tools with automation platforms (DeltaV, Siemens PCS7, SynTQ, SIPAT, Seeq) for model-based control.
2. Process Understanding & Scale up
- Collaborate with process engineers/scientists, support the development of process models for synthesis, crystallization, and formulation, and enable robust scale-up.
- Use PAT data for DoE-based optimization, multivariate analysis (MVDA), and robustness assessment.
- Support continuous manufacturing and intensification initiatives through inline analytics.
3. Data Analytics & Systems Integration
- Develop data pipelines linking PAT instruments with historians, MES, and data lakes.
- Apply advanced analytics (Python, MATLAB, SIMCA, Unscrambler, JMP) for trend prediction and fault detection.
- Collaborate with data-science teams for AI/ML model development for yield, impurity, and polymorph prediction.
4. Compliance & Lifecycle Management
- Ensure regulatory alignment with ICH Q8–Q11, FDA/EMA PAT frameworks.
- Prepare validation protocols, SOPs, and regulatory documentation for PAT method qualification.
- Manage change control, deviations, and audit responses for PAT systems.
5. Cross-Functional Collaboration
- Partner with R&D, MSAT, Automation, QA/QC, and Manufacturing for PAT-enabled process transfers.
- Support tech transfer, scale-up, and troubleshooting of operations.
- Collaborate with external vendors, academics, and technology providers.
Preferred Certifications / Tools
- Lean Six Sigma, QbD, or Data Analytics certifications.
- Experience with SIMCA, Unscrambler, MATLAB, Python, Seeq, or SynTQ/SIPAT.
- Knowledge of cGMP, 21 CFR Part 11, and data integrity principles.
