Research Scientist, AI
Biohub· AI Research
Hybrid (New York, NY)$214k - $375kFull-timePosted 5mo ago
About the role
Biohub builds frontier AI models, large-scale compute, and experimental capabilities to accelerate scientific discovery in biology, aiming to cure disease. The team focuses on frontier molecular modeling, biological foundation models, imaging models, reasoning and multi-agent systems, mechanistic interpretability, and large-scale scientific data.
Responsibilities
- Build on and advance the AI systems at the frontier of biology to accelerate science
- Design novel model architectures and scale pre-training pipelines for our biology foundation models.
- Build post-training systems that drive biological discovery: RL, reward modeling, reasoning, and multi-agent orchestration for long-horizon scientific tasks.
- Design evaluation frameworks and AI systems with scientists across Biohub and beyond, grounded in real biological outcomes and real world impact.
- Engage the wider scientific community through impactful publications, open-source releases, and collaborations worldwide.
Qualifications
- PhD in computer science or a related field, or equivalent experience
- Significant experience building and scaling deep learning systems, ideally in research-driven environments
- Strong engineering and scientific fundamentals
- Comfort with ambiguity, rapid iteration, and loosely-defined research problems
- Strong communication skills across technical and scientific audiences
Skills
Required:PhD or equivalent experience in CS or related fieldDeep learning systemsCommunication
Benefits
- Provides a generous employer match on employee 401(k) contributions to support planning for the future.
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Relocation support for employees who need assistance moving
Last updated Jul 9, 2026. Interested? Apply on the company site.
About Biohub
Leading the new era of AI-powered biology
Biohub is a research organization building technology to enable AI-powered biology for studying cells, disease mechanisms, and frontier biology.
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