Drive advancements in drug discovery as a Data Scientist at the Structural Genomics Consortium (SGC). Utilize machine learning to optimize drug candidates from complex biomedical datasets in a full-time permanent role.
This position reports to the Senior Scientist and focuses on developing, training, and deploying cutting-edge machine learning models that inform drug optimization. Candidates should have a strong background in data science or bioinformatics, proficiency in Python, and experience with high-dimensional datasets including DNA-Encoded Library (DEL) screens for drug candidate identification.
Key Responsibilities: • Design and deploy end-to-end machine learning pipelines • Develop predictive models from DEL and biomedical datasets • Fine-tune deep learning architectures for drug design • Conduct exploratory data analysis and statistical modeling • Collaborate with experts to create innovative machine learning solutions