This role offers the opportunity to apply cutting-edge AI/ML methodologies to accelerate the identification, design, and optimization of novel therapeutics, working at the interface of computational science, medicinal chemistry, and biology.
Key Responsibilities
- AI-Driven Drug Discovery: Develop, validate, and deploy state-of-the-art ML models (incl. de novo design, virtual screening, ADMET modeling, and hit-to-lead optimization).
- Scientific Integration: Collaborate with medicinal chemists, biologists, and computational scientists to incorporate AI-derived insights into discovery workflows.
- Platform Development: Architect and maintain AI/ML infrastructure to enable efficient data analysis and hypothesis generation.
- Research & Innovation: Monitor advancements in AI/ML for drug discovery, contribute to proprietary methods, and support intellectual property generation.
- Data Translation: Analyze complex datasets and present actionable recommendations to multidisciplinary teams.
Required Qualifications
- Education: Ph.D. in Computational/Medicinal Chemistry, Bio/Cheminformatics, AI/ML, or related discipline, with 36 years post-doctoral or industry experience.
- Technical Skills:
- Expertise in deep learning architectures (CNNs, RNNs, Transformers)
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)
- Experience with both structure-based and ligand-based drug discovery approaches
- Mindset: Strong interest in agentic AI autonomous, goal-driven systems for scientific discovery.
- Soft Skills: Excellent communication, problem-solving, and cross-functional collaboration abilities.
Why Join Us
At Aurigene, you will work on high-impact scientific programs, leveraging advanced computational tools to shorten the drug discovery timeline and improve success rates. You will be part of a collaborative, innovation-driven environment where science meets technology to create real-world health impact.
