Position Details
About this role
This role involves designing and developing AI-driven software solutions for laboratory automation, data analysis, and process optimization in biotherapeutics discovery.
Key Responsibilities
- Design AI software applications
- Build data pipelines and visualization tools
- Implement machine learning models
- Create digital lab infrastructure
- Develop integrations
Technical Overview
Software engineering with AI, machine learning, robotics, IoT, data pipelines, visualization tools, and laboratory digital infrastructure.
Ideal Candidate
The ideal candidate is a Ph.D. or Master's level software engineer with extensive experience in AI, machine learning, and laboratory automation, preferably within the pharmaceutical industry, with strong skills in Python, SQL, and robotics.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years industry experience with Ph.D., Lack of experience in AI or laboratory automation, No proficiency in Python or SQL, No experience with robotics or IoT, Lack of relevant industry experience
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