About The Position

We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the Healthcare Industry. This is a 6+ month contracting role, with potential for extension. This is a HYBRID role. We are seeking a highly skilled professional with deep expertise in applying Artificial Intelligence and Machine Learning to drug discovery and development. The ideal candidate will have experience in Drug Discovery & Computational Biology (Must). The candidate should demonstrate a strong track record of leveraging advanced computational approaches to accelerate therapeutic discovery and possess the ability to collaborate effectively with multidisciplinary research and development teams.

Requirements

  • Deep expertise in applying Artificial Intelligence and Machine Learning to drug discovery and development.
  • Experience in Drug Discovery & Computational Biology (Must).
  • AI and machine learning methodologies for drug discovery, including predictive modeling, lead optimization, and translational research applications.
  • Graph machine learning techniques for biological networks, molecular property prediction, target identification, and knowledge graph-based discovery.
  • Virtual cell screening and AI-driven target discovery platforms, with particular focus on rare disease research and therapeutic innovation.
  • AI-driven molecular design for small molecules and biologics (Abs/VHH), including toxicity prediction, off-target assessment, developability analysis, and candidate optimization.
  • Structural biology, including protein structure analysis, molecular interactions, computational modeling, and integration of structural data into drug discovery workflows.
  • Healthcare Domain experience (Must).
  • Ability to collaborate effectively with multidisciplinary research and development teams.

Responsibilities

  • Applying Artificial Intelligence and Machine Learning to drug discovery and development.
  • Leveraging advanced computational approaches to accelerate therapeutic discovery.
  • Collaborating effectively with multidisciplinary research and development teams.
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