Opportunity Description
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...
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...
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