Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Data Architect will design data infrastructure for AI-native drug discovery, focusing on data models, ontologies, and data platform architecture to support scientific workflows and analytics.

The Technical Lead will build software systems for AI-native drug discovery, design data pipelines, develop APIs, and collaborate with scientists to create efficient workflows and solutions.

Lead design and delivery of production LLM systems for drug discovery: build RAG pipelines, hybrid retrieval, text-to-SQL, agentic workflows, evaluation frameworks, and orchestration for scientific analyses.

The role requires engineering integrative solutions between AI and lab systems to enhance molecule discovery through automation and data connectivity. It involves prototyping, collaboration with scientists, deploying intelligent systems, and ensuring reliable lab operations.

The Senior Cloud Platform Engineer will operate and improve cloud platforms for bioinformatics workflows, debug complex systems, and collaborate with scientists.

The Data Architect will design and build data infrastructure to support AI-driven drug discovery, focusing on data models, architectures, and integration strategies.

The position involves developing predictive models for ADMET and PK/PD, enabling biotech partners through clear model outputs, and mentoring junior scientists.

Lead end-to-end commercial assessments for licensing and acquisition opportunities, develop forecasting models, and influence BD leadership through data-driven insights while bridging new markets with comprehensive strategies.

The Associate Director of Patent Research will develop patent search strategies, collaborate with legal and scientific teams, analyze findings, and support due diligence processes.

Responsible for facilitating contract enablement requests and managing vendor relationships for Oncology discovery operations, ensuring timely and compliant delivery of resources.