AI Scientist
Nabla Bio · Boston, MA · Yesterday
EngineeringFull-time
Boston, MA Dry Lab In office Full-time Nabla Bio is building AI to design new medicines. We combine cutting-edge ML with fast, human-relevant lab validation to create biomolecules on demand. This lets us go after hard diseases and build new drug formats that traditional approaches can’t reach. We’re backed by top investors like Radical and Khosla Ventures and work with partners including AstraZeneca, Takeda, and Bristol Myers Squibb. The Role We’re hiring an exceptional AI Scientist to lead development of our core biomolecular modeling technologies. You’ll be responsible for building and improving the foundation models that power Nabla’s therapeutic design capabilities — from architecture design and training to experimental validation. This is a rare opportunity to do AI research with real-world, large-scale experimental feedback: your models will be tested not just with loss curves and benchmarks, but in wet-lab assays measuring therapeutic function, safety, and precision. Our platform enables you to test dozens of modeling hypotheses in parallel, with experimental results across a million drug designs returned in just a few weeks. See our papers for examples of our work [1][2], and their coverage in Science Magazine and Endpoints News. This is an in-person role in Cambridge, MA. You will: Design, implement, and evaluate new training data, model architectures, training schemes, and loss functions for biomolecular generation and predictionDrive major improvements in generative and predictive performance based on experimental feedbackCollaborate with AI engineers to productionize models for use in internal and pharma partner design workflowsStay on top of the state of the art in ML, protein modeling, and sequence design—and push it forward Qualifications 5+ years of experience developing deep learning models; prior experience in generative modeling, protein/biomolecular ML, or large-scale sequence modeling is a plusStrong engineering fluency in Python and PyTorchExperience with distributed training and scaling large models in HPC/cloud environmentsTrack record of creativity, rigor, and technical leadership in ML researchComfort working closely with experimentalists to connect model behavior to real biological outcomes What We Offer The ability to test and validate ML hypotheses using one of the most powerful experimental platforms in biotechA chance to shape foundational modeling capabilities for programmable drug designClose collaboration with experts in wet-lab biology, bioinformatics, and software engineeringA focused, technically ambitious team solving hard problems end-to-endHighly competitive salary, equity, and benefits package Nabla Bio is an equal opportunity employer. We welcome applicants from all backgrounds and experiences, and strongly encourage candidates from underrepresented groups in science and technology to apply. Req ID: R1