The Biologics Product Manager will develop product strategies, prioritize features, collaborate with cross-functional teams, communicate technical aspects, analyze feedback for platform improvements, and track performance metrics all while leveraging AI in drug discovery.

This role involves developing and evaluating ML models for drug discovery, working collaboratively with scientists to create scalable ML tools and software solutions.

Join a pioneering company as a Machine Learning Engineer, contributing to drug discovery innovations. Collaborate across teams to shape ML products, ensuring high engineering standards and impactful solutions.

The Data Management Specialist will curate experimental data, streamline data integration, support drug discovery projects, and collaborate with teams to improve data quality.

Develop software products for scientific needs, collaborate with users and teams, and design cloud-native applications in a fast-paced environment.

As a Support Engineer, you'll provide technical support, troubleshoot issues, maintain automation scripts, and manage integrations, ensuring an excellent user experience.

Lead DMPK strategy for drug discovery projects, integrating quantitative pharmacology and optimizing molecule design using AI-driven models.

As the ML Platform Engineering Lead, you will build and lead a team to develop infrastructure for deploying machine learning models while collaborating with various departments to drive innovation in drug discovery.

The Platform (DevOps) Lead will develop technical strategy, manage a team, define standards, and work with various teams to build scalable ML-based software for biopharmaceutical innovation.

The Senior ML Ops Engineer will build tools for ML research, manage cloud infrastructure, and collaborate with diverse teams on the ML model lifecycle.

The Research Scientist will build machine learning models and algorithms for drug discovery, leading projects and mentoring others in a collaborative, interdisciplinary team environment.

Register interest for future job openings at a new Alphabet company focused on revolutionizing drug discovery through innovative computational and AI methods. Join a collaborative team aiming for significant social impact in the biotech industry.