2017 Cell -- Leveraging an NQO1 bioactivatable drug for tumor-selective use of poly (ADP-ribose) polymerase inhibitors
and Fsh3, a serine hydrolase involved in oxidative stress and apoptosis
At least 1 year of experience with machine learning or predictive modeling (Scikit-learn, H2O, Xgboost, or TensorFlow) At least 1 year of experience with relational databases (Postgres, Redshift, MySQL) and programming in SQL Preferred Qualifications Masters Degree or PhD Experience working with AWS (EC2, S3, Lambda, RDS, etc.) Experience working with advanced Git Workflows (Pull Requests, Code Reviews, Issues, and Branching) Experience writing unit tests and integrating with CICD tools (Jenkins, CircleCI, etc.) At least 3 years experience in Python or R At least 3 years experience with machine learning / predictive modeling (Scikit-learn, H2O, Xgboost, TensorFlow, etc.) At least 3 years experience with SQL The Interview Process The interview process at Capital One is quite rigorous and is composed of a number of steps: Initial Phone Screen The interview starts off with an initial phone screen which is usually 30 minutes long
This approach doesn't replace the primary treatment but enhances its results by optimizing the healing it triggers
