Enhance drug discovery efforts as a Bioinformatics Data Scientist at the Structural Genomics Consortium (SGC). Engage in machine learning modeling to analyze complex biomedical datasets in a full-time role.

Reporting to the Senior Scientist, this position requires expertise in designing and executing machine learning solutions tailored for drug candidate optimization. Successful candidates will have experience with high-dimensional data sources, including DNA-Encoded Libraries, and possess strong skills in Python and machine learning methodologies to push research boundaries within the SGC.

Key Responsibilities: • Develop and deploy comprehensive machine learning pipelines • Apply predictive modeling on DEL screening data • Implement and refine deep learning models for drug discovery • Perform rigorous data explorations and visualizations • Work collaboratively on scientific machine learning projects

Requirements: • Bachelor’s or Master’s degree in relevant d...