AI Scientist, Biomolecular Design

Nabla Bio; Boston (MA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Equity

Benefits package

Job summary

Nabla Bio in Cambridge, MA is hiring an AI Scientist to lead biomolecular modeling developments. You will build and refine foundation models powering therapeutic design, with real-world experimental feedback from wet-lab assays and millions of drug designs tested in weeks.

This in-person role focuses on architecture, training strategies, and model validation. The role involves executing state-of-the-art ML research, collaborating with engineers and experimentalists, and advancing generative and

Qualifications

• 5+ years of experience developing deep learning models.
• Strong proficiency in Python and PyTorch.
• Experience with distributed training and HPC/cloud environments.
• Track record of creativity, rigor, and technical leadership in ML research.
• Comfort working with experimentalists to connect model behavior to biology outcomes.

Responsibilities

• Design, implement, and evaluate new training data, model architectures, training schemes, and loss functions for biomolecular generation and prediction.
• Drive major improvements in generative and predictive performance based on experimental feedback.
• Collaborate with AI engineers to productionize models for internal and pharma partner design workflows.
• Stay on top of the state of the art in ML, protein modeling, and sequence design.

Skills

Python

PyTorch

Gen modeling

Experimental collaboration

DL experience (5+ years)

Tools

HPC/Cloud

Job description

Nabla Bio in Cambridge, MA is hiring an AI Scientist to lead biomolecular modeling developments. You will build and refine foundation models powering therapeutic design, with real-world experimental feedback from wet-lab assays and millions of drug designs tested in weeks.

This in-person role focuses on architecture, training strategies, and model validation. The role involves executing state-of-the-art ML research, collaborating with engineers and experimentalists, and advancing generative and