AI Scientist

Location: Boston, MA

Department: Dry Lab

Location Type: IN_OFFICE

Employment Type: FULL_TIME

• 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 use in internal and pharma partner design workflows
• Stay on top of the state of the art in ML, protein modeling, and sequence design—and push it forward

• 5+ years of experience developing deep learning models; prior experience in generative modeling, protein/biomolecular ML, or large-scale sequence modeling is a plus
• Strong engineering fluency in Python and PyTorch
• Experience with distributed training and scaling large models in HPC/cloud environments
• Track record of creativity, rigor, and technical leadership in ML research
• Comfort working closely with experimentalists to connect model behavior to real biological outcomes

• The ability to test and validate ML hypotheses using one of the most powerful experimental platforms in biotech
• A chance to shape foundational modeling capabilities for programmable drug design
• Close collaboration with experts in wet-lab biology, bioinformatics, and software engineering
• A focused, technically ambitious team solving hard problems end-to-end
• Highly competitive salary, equity, and benefits package