Must have strong Python and deep learning experience
Must have strong cloud engineering experience– AWS services like Lambda, S3, EC2, Sagemaker etc.
Fluency in the Python ML/data science stack - PyTorch, Scikit-Learn and Python libraries.
Experience in building ML models using biological data sets
Deep familiarity with Protein engineering or understanding of biological data
Knowledge of protein purification strategies, recombinant protein expression.
Knowledge of biophysical characterization of proteins
Good to have: experience with construction and design of the entire ML pipeline, including training, deployment, and hosting in a production environment, using engineering best practices (e.g., unit testing, monitoring, logging)