The Staff Data Scientist will lead machine learning model development projects, collaborate with cross-functional teams, and interface with internal stakeholders to extract clinically relevant data for cancer research. Responsibilities include managing data scientists, shaping machine learning strategy, and validating models with oncologists to generate scientific insights.

As an Abstractor, you will document clinical information related to cancer care, extract data from electronic health records (EHRs), and ensure compliance with privacy regulations. You will support the development of software tools and evaluate data quality, contributing to the improvement of oncology care.

As a Lead Data Analyst, you will support data-driven decision-making by developing models, creating data sets, conducting statistical analyses, and collaborating with cross-functional teams to improve cancer care through data products.

As a Data Science Manager, you will lead machine learning model development projects, provide technical leadership, interface with scientific stakeholders to gather required data for research, and mentor data scientists. Your goal will be to enhance the efficiency of data processing in cancer care through advanced machine learning techniques.