Machine Learning Scientist in Healthcare

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 and related ML libraries

• Familiar with MLOps techniques

• Proficient in communication across diverse groups

Be a driving force in advancing drug discovery methods through innovative machine learning applications at SGC.
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