Senior ML Engineer - Computational Biology
Stealth AI-First Biotech | Tokyo/Remote | Build the Future of AI and Biology
Join a stealth, well-funded startup revolutionizing pharmaceutical research through cutting-edge AI.
Technology Stack: Neural ODEs/PDEs, Physics-Informed Neural Networks, Multi-Agent AI Systems, Distributed ML Infrastructure, Natural Language Interfaces for Scientific Computing.
What You'll Own
🧬 AI-Biology Integration
- Design neural differential equation frameworks to model biological systems at scale
- Build physics-informed neural networks for pharmacokinetic/pharmacodynamic simulation
- Integrate molecular dynamics with deep learning for drug-target interaction prediction
🤖 Autonomous AI Systems
- Develop AI agents that reason over scientific literature and experimental data
- Create retrieval-augmented systems for hypothesis generation and experimental design
- Build conversational interfaces that make complex biophysical modeling accessible to researchers
âš¡ Production ML Infrastructure
- Deploy distributed training systems across GPU/TPU clusters for large-scale biological models
- Implement MLOps pipelines for continuous model improvement and A/B testing
- Scale inference systems to handle real-time molecular simulation queries
Ideal Background
Must Have:
- 4+ years production ML experience with PyTorch/JAX
- Strong mathematical foundation (differential equations, numerical methods, optimization)
- Experience with biological/chemical datasets OR strong willingness to learn domain quickly
- Track record building novel architectures from research papers to production
Highly Valued:
- Neural ODE/PDE implementation experience or physics-informed ML
- AI agent development (LangChain, LangGraph, autonomous reasoning systems)
- Computational biology, drug discovery, or scientific computing background
- PhD in quantitative field (Applied Math, Physics, Bioinformatics, Computer Science)
Mindset:
- Excited by unsolved technical challenges at the frontier of AI and biology
- Comfortable with ambiguity and rapid iteration in a research-heavy environment
- Passionate about technology that could fundamentally extend human healthspan
Why This Opportunity
- Lead technical architecture decisions for breakthrough biotech platform
- Substantial equity package with liquidation opportunities at funding milestones
- Clear path to VP Engineering/CTO role as company scales
- Competitive package
- Tokyo HQ with full relocation support (visa sponsorship, housing assistance)
- Remote options for exceptional candidates (US/Canada/EU timezones)
- Quarterly team gatherings in Tokyo + major AI conferences
🔬 Technical Excellence
- Work alongside world-class computational biologists and AI researchers
- Access to cutting-edge compute resources and proprietary biological datasets
- Collaborate with top-tier academic institutions and pharmaceutical partners
