AI Scientist (Model Building & Training)

Location: Silicon Valley Hub, South San Francisco, California, United States. Flexible hybrid model with three days onsite and two days remote each week.

Salary: $168,000–$268,400 annually, plus a company bonus and benefits.

Company

hirify.global is a global pharmaceutical company developing life-changing medicines and applying AI to drug discovery.

What you will do

• Design, train, and evaluate foundation, generative, and predictive AI models for chemistry and biology.
• Advance AI methods for molecular design, target identification, genomics, and structure-based discovery.
• Build and validate models using Lilly’s proprietary experimental data.
• Design evaluation strategies that connect model performance with scientific and experimental outcomes.
• Collaborate with researchers, engineers, chemists, biologists, and other domain experts.
• Lead research from hypothesis through scientific validation and practical impact.

Requirements

• PhD in Machine Learning, Computer Science, Computational Chemistry, Computational Biology, Bioinformatics, Physics, Statistics, or a closely related quantitative field.
• At least 2 years of relevant research experience beyond the PhD in industry or a postdoctoral research position.
• Deep expertise in computational chemistry, computational biology, genomics, or a related scientific field.
• Recognized expertise in machine learning research, with significant contributions to generative, predictive, or foundation models for scientific applications.
• Impact demonstrated through publications at leading research venues, patents, open-source contributions, or other notable scientific achievements.
• Advanced Python proficiency and experience with modern machine learning frameworks such as PyTorch or JAX.
• Ability to independently design, implement, train, and evaluate AI models.
• Experience leading complex research initiatives from hypothesis through scientific validation and impact.
• Experience designing, training, and evaluating large neural networks on GPU infrastructure and applying machine learning to chemical, biological, or other scientific data.
• Ability to collaborate across scientific and technical disciplines and communicate complex findings to diverse audiences.

Culture & Benefits

• Work on AI-driven drug discovery through a Lilly and NVIDIA co-innovation lab.
• Hybrid work arrangement with three onsite days and two remote days weekly.
• Eligible full-time employees may receive a company bonus based partly on company and individual performance.
• Benefits include 401(k), pension, vacation, medical, dental, vision, prescription drug, flexible spending, life insurance, leave, and well-being benefits.
• Employee resource groups provide support networks and are open to all employees.