Position Details
About this role
This role involves developing software systems to support AI-native drug discovery, focusing on data pipelines, APIs, and automation workflows to enable scientific research.
Key Responsibilities
- Build data pipelines
- Develop APIs
- Implement MLops pipelines
- Support lab automation
- Collaborate with scientists
Technical Overview
The technical environment includes Python, MLflow, W&B, lab automation tools, and data warehouses, emphasizing scalable software development for scientific applications.
Ideal Candidate
The ideal candidate is a mid-level software developer with experience in AI-native drug discovery platforms, proficient in Python, APIs, data pipelines, and automation, capable of building scalable scientific software solutions.
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 software development experience, No experience with APIs or data pipelines, Limited knowledge of AI or MLops, No background in scientific software
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