Data & AI Engineer II

Job Summary

To support clinical research and data-driven decision-making, the full-time salaried Data & AI Engineer II will develop analytical applications, data pipelines, and AI-powered capabilities while collaborating with cross-functional teams in a hybrid work environment.

Key responsibilities:

• Develop and maintain analytical applications using Python and frameworks like Streamlit and Django
• Productionize statistical models and machine learning workflows, translating R-based analyses into maintainable Python code
• Build and maintain data pipelines that support clinical data processing, analysis, and visualization

Required qualifications:

• Bachelor's or master's degree in Computer Science, Data Science, Engineering, Biostatistics, or a related quantitative field
• 2+ years of experience in data engineering, backend engineering, or analytics engineering
• Strong proficiency in Python for data analysis and software development
• Experience with statistical analysis and machine learning workflows
• Familiarity with relational databases, SQL, APIs, and common data formats