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
Data & AI Engineer in workfromhome at Unknown Company
This position is listed as full time and hybrid.