Nabla Bio

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.

Application questions