The Opportunity Legacy drug discovery pipelines are bottlenecked by traditional knowledge boundaries. We are changing that. At the intersection of generative machine learning and advanced oncology research, we are in the business of translating theoretical models into real, clinic-ready therapeutics. As an AI Drug Discovery Scientist, you will not just optimize algorithms, you will directly shape the design of small molecules and beyond-Rule-of-5 (bRo5) drugs destined to impact patient lives.

About Us We are a translatable-asset driven company; fast-paced and dedicated to compressing the timeline between target identification and clinical trials. Highly collaborative and driven by novelty and impact potential, we bypass unfounded tradition to focus entirely on what works. We possess dedicated, high-performance computing infrastructure, ensuring your models have the raw power required to solve the hardest challenges in pharmaceutical development.

The Role Identify and implement state-of-the-art models: Evaluate, adapt, and deploy frontier machine learning models and generative frameworks in the chemistry and biology domains. Multi-parameter optimization: Design algorithms for simultaneously optimizing on-target potency and bioavailability, while mitigating side-effects. Scale computational infrastructure: Leverage our internal High-Performance Computing (HPC) cluster to execute large-scale modeling runs efficiently. Cross-functional execution: Integrate tightly with a spectrum of computer scientists, chemists, biologists, and clinical scientists, to define problems and implement solutions in an agile, iterative environment.

Who You Are (Qualifications) Self-motivated and highly driven; a professional who can independently define a problem, conceptualize a technical solution, and adaptably execute it within a defined timeframe. Ph.D. focused on computational drug discovery, molecular optimization, or generative ML for chemistry, combined with 3+ years of post-doctoral research experience; OR equivalent industry experience (5+ years) in a chemistry-focused biotechnology sector. Core competencies in production-ready coding for scientific applications. Demonstrable experience with python and PyTorch or similar technologies in a HPC environment will be advantageous. Experience in developing and implementing novel ML algorithms such as transformers, diffusion models, neural networks. Ability to quantify uncertainty and optimize solutions via Bayesian or other frameworks will be highly regarded. Location: Vancouver, British Columbia, Canada (Hybrid). Remote starts available. Employment type: Full time. Compensation: $110K - 175K based on previous experience and demonstrable skills.