Data & AI Engineer
Job Summary
Collaborating with cross-functional teams, the full-time salaried Data & AI Engineer II will develop analytical applications, data pipelines, and AI-powered capabilities to support clinical research and data-driven decision-making, while working in a hybrid environment.
Key responsibilities:
- Develop and maintain analytical applications using Python and frameworks such as Streamlit and Django
- Productionize statistical models and machine learning workflows, translating R-based analyses into Python
- 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 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, data science, or machine learning workflows
- Experience building analytical applications using frameworks like Streamlit, Plotly, or Dash
Complete Job Description
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