Position Details
About this role
Build and enhance data-driven applications for life sciences, focusing on AI, machine learning, and data modeling to deliver high-impact insights.
Key Responsibilities
- Build core infrastructure for product experience
- Automate workflows and improve API performance
- Own projects from design to deployment
- Develop AI-generated intelligence solutions
- Collaborate with data scientists and engineers
Technical Overview
Develop sophisticated data applications using Python, AI, machine learning, and scalable pipelines within a modern tech stack.
Ideal Candidate
The ideal candidate is a mid-level Python engineer with experience in data modeling, machine learning, and AI. They should be comfortable working on complex data pipelines, automation, and building reliable software applications in a modern tech environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of Python experience, No experience with data pipelines or AI, Inability to work independently
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