
Applied AI/Bio Scientist at Nabla Bio (Boston, MA)
Nabla Bio· Boston, MA·
Role details
Work type
Onsite
Employment
Full-Time
Job description
The Role
We’re hiring an exceptionally driven Applied AI/Bio Scientist to help push the boundaries of what’s possible in therapeutic design. You'll work across the full discovery stack — using state-of-the-art AI to tackle real therapeutic challenges and design drug candidates that were previously out of reach. This is an in-person role in Cambridge, MA. You will:
- Apply and adapt frontier AI models to design biologics that push the limits on format, precision, and function.
- Partner closely with internal and external scientists and engineers to advance molecules toward their Target Product Profiles.
- Collaborate with AI research and engineering teams to improve core models and infrastructure for future discovery.
- Leverage modern AI dev tooling to move fast and stay focused on high-value work
Qualifications
- 4+ years of experience developing or applying AI in biology, chemistry, or physics; therapeutic experience is a plus.
- Experience collaborating with wet-lab teams or direct experience with biological experiments.
- Strong fluency in Python.
- Familiarity with HPC environments (e.g., Kubernetes, SLURM).
- Experience with deep learning frameworks like PyTorch.
- High agency and a track record of shipping quickly with quality
What We Offer
- A dry- and wet-lab team and platform that lets you generate and test high-impact therapeutic ideas in days or weeks, not months.
- The chance to shape the next generation of drugs, both through Nabla’s internal pipeline and in partnership with world-class Top-10 pharma partners.
- A team that deeply values technology and prioritizes technical excellence and rapid execution across AI and biology.
- Highly competitive salary, equity, and benefits package.
Why work at Nabla Bio
- Culture: "Fully in-person and based in Cambridge, MA." The team values deep platform investment, high scientific standards, side-by-side collaboration, and learning quickly from results.
- Work environment: On-site only (Riverside Technology Center, Cambridge). The company emphasizes focus, urgency, and a "problems rather than prestige" mentality.
- Team size: ~22 employees (as of latest data), tight-knit mix of wet-lab and dry-lab scientists.
- Open roles: AI Platform Engineer, AI Scientist, and Applied AI/Bio Scientist – all based in Boston, MA.