🛠 Tech Stack

💼 About This Role

You'll build and deploy machine learning models on omics data and design ML systems for a biological knowledge graph. Your work will power downstream experiences like semantic search and conversational AI. This role offers the chance to impact scientific discovery through applied ML.

🎯 What You'll Do

• Build and deploy ML models over omics data capturing biological structure.
• Integrate heterogeneous biological signals into unified learning pipelines.
• Develop foundation models for biological data and adapt to use cases.
• Design ML systems to populate and reason over a biological knowledge graph.

📋 Requirements

• Bachelor's degree or higher in CS, ML, Bioinformatics, or related field.
• 2+ years of tech lead experience in production ML.
• Hands-on experience with omics data and omics-derived resources.
• Experience with TensorFlow, PyTorch, and omics processing libraries.

✨ Nice to Have

• Research publications in ML, AI, or bioinformatics.
• Experience with multi-omics integration or cross-modal biological learning.
• Prior work on biomedical knowledge graphs or graph neural networks.

🎁 Benefits & Perks

• 💰 Competitive salary with equity options.
• 🏖️ Flexible hybrid work environment.
• 📈 Growth opportunities in a leading AI-driven science company.