Top Biotech Jobs in San Francisco, CA

The role involves defining technical roadmaps and managing software for LIMS and laboratory automation in a compliant environment, ensuring data integrity and regulatory adherence while leading product teams.

The Technical Program Manager will lead complex development programs across industries, managing performance, schedule, and customer satisfaction while fostering team collaboration and communication under pressure.

The Machine Learning Application Engineer II will develop and scale data and ML infrastructure for drug discovery, manage biobank datasets, and deploy machine learning models. Responsibilities include collaborating cross-functionally and ensuring production-grade systems uphold FAIR data principles.

The Neuron Whisperer will establish and execute neuron culture methods, optimize protocols, collaborate with teams, and provide input on research design and workflows.

The Senior Research Associate will support antibody drug development through protein cloning, cell line evaluation, and data analysis, while ensuring accurate documentation and collaboration.

The Transplant Account Manager is responsible for driving sales and growth of CareDx's transplant diagnostics portfolio through strategic account management and collaboration with internal teams.

The RCM Authorizations Supervisor manages a team handling authorization requests, ensuring timely completion and appealing denied requests while leading, training, and developing team members in a healthcare setting.

The Senior RPA Developer will design and implement RPA solutions using Microsoft Power Automate Desktop, focusing on Finance processes, while collaborating with various teams to improve automation workflows and maintain existing solutions.

As Staff Firmware Engineer, you'll lead the firmware architecture strategy, develop embedded software for medical devices, and ensure compliance with medical regulations. You'll collaborate with cross-functional teams and optimize processes.

The Backend Engineer will design and build scalable systems for processing health data, develop APIs, ensure compliance, and mentor teammates while focusing on system reliability and performance.

The Senior Software Engineer will design and implement AI-enabled patient experiences, develop APIs, and enhance genetic sequencing workflows.

The role involves building and optimizing display technologies for AI antibody design, data generation for AI model training, and characterizing proteins, requiring strong collaboration and technical skills.