Position Details
About this role
This role involves pioneering AI/ML models at the intersection of chemistry and biology to advance drug discovery, leveraging state-of-the-art machine learning techniques and collaborations with experimental teams.
Key Responsibilities
- Develop AI/ML models for drug discovery
- Collaborate with scientists to connect data and models
- Advance AI/ML infrastructure
- Publish research findings
- Translate biological problems into ML solutions
Technical Overview
The technical scope includes AI/ML frameworks, GNNs, Transformers, MLOps tools, and bioinformatics/chemoinformatics data processing, supporting scalable research solutions.
Ideal Candidate
The ideal candidate is a PhD-level AI/ML researcher with expertise in graph neural networks, transformers, and scalable ML solutions, capable of translating complex biological and chemical data into innovative AI models. They should have experience collaborating with experimental scientists and a strong publication record.
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 PhD or equivalent in relevant field, No experience with AI/ML frameworks, No knowledge of GNN or Transformers, Inability to collaborate with scientists
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