Applied AI/Bio Scientist — Fast, Impactful Drug Discovery

Nabla Bio, Inc

Cambridge (MA)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
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Benefits package

Job summary

Nabla Bio, Inc. in Cambridge, MA is seeking an exceptionally driven Applied AI/Bio Scientist to push the boundaries of therapeutic design.

You will work across the full discovery stack using state-of-the-art AI to design drug candidates that were previously out of reach. You will apply frontier AI models to biologics, partner with scientists and engineers, collaborate with AI teams to improve models, and leverage modern tooling to move fast on high-value problems in a fast-paced, collaborative

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.

Responsibilities

  • 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

Skills

AI in biology/chemistry/physics
Wet-lab collaboration
Python
HPC environments (Kubernetes, SLURM)
Deep learning (PyTorch)
Independent, fast shipping

Tools

Python
PyTorch
Kubernetes
SLURM

Job description

Nabla Bio, Inc. in Cambridge, MA is seeking an exceptionally driven Applied AI/Bio Scientist to push the boundaries of therapeutic design.

You will work across the full discovery stack using state-of-the-art AI to design drug candidates that were previously out of reach. You will apply frontier AI models to biologics, partner with scientists and engineers, collaborate with AI teams to improve models, and leverage modern tooling to move fast on high-value problems in a fast-paced, collaborative

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