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Position Title | Senior AI Scientist – Drug Discovery & Computational Biology
Domain EXP | Healthcare
Location | Boston, MA - Hybrid
Duration | C2C
Must Have  | Drug Discovery & Computational Biology
Job Description
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: ·        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. 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.
Domain EXP | Healthcare
Location | Boston, MA - Hybrid
Duration | C2C
Must Have  | Drug Discovery & Computational Biology
Job Description
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: ·        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. 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.
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