Data Scientist, Cancer Informatics

Job Summary

To support computational oncology initiatives, the remote Data Scientist, Cancer Informatics will develop and maintain Python-based data pipelines, focusing on machine learning and natural language processing to transform complex clinical data into actionable insights.

Key responsibilities

• Develop, test, and maintain data pipelines for clinical research and quality improvement projects
• Support cancer informatics projects involving machine learning and structured extraction from unstructured clinical data
• Generate reproducible analyses and visualizations to communicate findings to stakeholders

Required qualifications

• Bachelor's Degree in Computer Science, Informatics, Statistics, Engineering, Data Science, or related field; Master's Degree preferred
• Minimum of two years of experience in quantitative data analysis, preferably with clinical data and machine learning
• Expertise in SQL databases and programming languages such as Python or R
• Deep understanding of statistical modeling concepts and machine-learning approaches
• Demonstrated experience building or implementing data science workflows, particularly in healthcare contexts