Senior / Principal Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery
Genentech · New York City, New York, United States
About this role
<h3>The Position</h3><p><span>A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come
Creating a world where we all have more time with the people we love. That’s what makes us Roche.</span><br /><br /><span>Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact
Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. </span></p><p></p><p><b>The Opportunity</b></p><p></p><p><span>At Roche's AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning (ML) techniques
We are seeking a Senior or Principal Machine Learning Scientist to join the Foundation Models team within Prescient Design (gRED). In this role, you will drive the development of our internal reasoning Large Language Models (LLMs) and enable it to succeed at drug discovery tasks, including biomolecular design. You will work at the intersection of engineering and research, designing and scaling large machine learning systems.</span></p><p><span>In this role, you will:</span></p><ul><li><p><span>Technical Leadership & Strategy: Lead the design and evolution of scientific reasoning systems, setting technical direction for model architectures, training strategies, and evaluation methodologies.</span></p></li><li><p
Apply for this role on Genentech’s official careers site.