Found Description
Join the Structural Genomics Consortium (SGC) as a Machine Learning Scientist focused on accelerating healthcare innovations. Deploy cutting-edge ML models on biomedical datasets in a permanent full-time capacity.
This role involves leading projects that leverage machine learning to enhance drug discovery via the analysis of complex datasets, including DNA-Encoded Libraries. The ideal candidate will report to the Senior Scientist and bring extensive experience in building ML pipelines and collaborative research environments.
Key Responsibilities:
• Architect and maintain ML pipeline solutions
• Create predictive models from complex biomedical data
• Fine-tune machine learning frameworks for drug design
• Conduct in-depth exploratory data analyses
• Collaborate effectively with multidisciplinary teams
Requirements:
• Bachelor’s or Master’s degree in applicable fields
• 4+ years of experience in drug discovery ML applications
• Advanced skills in Python a...
This role involves leading projects that leverage machine learning to enhance drug discovery via the analysis of complex datasets, including DNA-Encoded Libraries. The ideal candidate will report to the Senior Scientist and bring extensive experience in building ML pipelines and collaborative research environments.
Key Responsibilities:
• Architect and maintain ML pipeline solutions
• Create predictive models from complex biomedical data
• Fine-tune machine learning frameworks for drug design
• Conduct in-depth exploratory data analyses
• Collaborate effectively with multidisciplinary teams
Requirements:
• Bachelor’s or Master’s degree in applicable fields
• 4+ years of experience in drug discovery ML applications
• Advanced skills in Python a...
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