Deep Genomics

Research Scientist

• Lead the creative research, architecture design, and training of Biological Foundation Models (BioFMs), on massive-scale genomic, transcriptomic, and single-cell datasets.
• Collaborate closely with computational biologists and drug developers to integrate deep biological priors directly into model architectures and training objectives, ensuring our BioFMs capture fundamental and scientifically meaningful representations.
• Rigorously implement, train, debug, and evaluate large-scale models to demonstrate scientific validity and drive progress on frontier problems in human health and genetic medicines.
• Stay current with advancements in machine learning and computational biology research, identifying cross-disciplinary applications to solve real-world challenges.
• Mentor junior scientists and engineers, fostering a culture of technical excellence and scientific curiosity through leadership and high-quality code review.
• Share research findings through internal presentations and contribute to the scientific community via publications in top-tier venues.

Senior Research Scientist, Machine Learning – BioFM

Research Engineer

• Develop and Optimize Core Tooling: Build and maintain the engineering infrastructure that allows the research team to iterate rapidly and safely.
• Bridge Research and Engineering: Refactor and optimize experimental, script-like research code, adding necessary scaffolding and engineering rigor without stifling discovery.
• Model Implementation: Implement, train, and evaluate modern deep learning architectures using PyTorch.
• Testing and Debugging: Rigorously test and troubleshoot complex ML systems to ensure both software correctness and optimal computational efficiency.
• Navigate Trade-offs: Continuously balance the need for research speed with the realities of technical debt, making pragmatic architectural decisions.

Senior Research Scientist, Machine Learning – BioFM

Senior Research Engineer, Machine Learning