CDMO offering integrated chemistry, development, and cGMP manufacturing across four continents
Aurigene is a contract development and manufacturing organization (CDMO) spanning drug discovery support through commercial-scale production, with cGMP facilities in the UK, Mexico, USA, and India. The tech stack reveals a research-operations hybrid: lab instrumentation (HPLC, LC-MS/MS, ChemDraw, SciFinder) sits alongside enterprise systems (Veeva Vault for regulated data, SAP for operations, LIMS for lab workflows) and emerging ML tooling (TensorFlow, PyTorch, SageMaker, Vertex AI), suggesting early-stage automation of preclinical and process-optimization work. Hiring is research-heavy (32 roles) with sparse engineering (5), pointing to a science-first org building digital capability incrementally rather than engineering-led.
Notable leadership hires: Study Director
Aurigene Pharmaceutical Services is a CDMO based in Bangalore with operational footprint across India, UK, Mexico, and USA. The company provides integrated services spanning medicinal chemistry, preclinical biology, DMPK studies, development support for clinical Phase I–III programs, regulatory batches, and commercial manufacturing. A core differentiator is end-to-end API and formulation capability—from key starting materials through advanced intermediates, active pharmaceutical ingredients (APIs), and finished products (oral solids, sterile injectables, nasal solutions). Specializations include highly potent APIs (HPAPIs), steroids, peptides, oligonucleotides, and targeted protein degradation molecules. Active projects focus on technology transfer, toxicology studies, large-molecule upstream operations, purification and batch scale-up, and process-improvement initiatives aligned with lean six sigma.
cGMP commercial manufacturing facilities in four countries: India, UK, Mexico, and USA. Development services are based in India and supported by these regional manufacturing sites.
Lab analytics (HPLC, UPLC, LC-MS/MS, ChemDraw, SciFinder, GraphPad Prism), regulated data management (Veeva Vault, LIMS), enterprise systems (SAP, Jira, Confluence, GitHub), and machine learning frameworks (TensorFlow, PyTorch, Keras, SageMaker, Vertex AI, Azure ML, Vertex AI).
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