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

Develops analytical applications, data pipelines, and AI-powered capabilities for clinical research and healthcare decision-making. The role productionizes statistical and machine learning workflows, translates R analyses into tested Python, builds interactive applications, integrates structured and unstructured data, and supports LLM features such as retrieval-augmented generation and structured extraction. Responsibilities include testing, deployment, monitoring, documentation, collaboration with scientific and clinical stakeholders, and compliance with sensitive healthcare data requirements.

Maintain, troubleshoot, calibrate, and support liquid-handling robotics, real-time PCR instruments, and environmental monitoring equipment in regulated and research laboratories. Develop and update maintenance SOPs and liquid-handling documentation, train users on established and new methods, perform statistical analysis, and provide weekend and holiday on-call support. The role supports Agilent, Hamilton, Beckman Coulter, and ABI instrumentation within an automation engineering team.

Supports cross-functional project and portfolio management across R&D, clinical, regulatory, quality, operations, IT, and commercial teams. Maintains project plans, dashboards, risk registers, timelines, reports, and governance materials; coordinates meetings and stakeholder communications; improves workflows and processes; enables Microsoft 365 and AI tools; and identifies automation opportunities. This early-career role helps teams prioritize initiatives, manage dependencies, and improve operational efficiency within the PPMO.

Join CareDx's Talent Community to stay updated on career opportunities and contribute to healthcare solutions for transplant patients. Engage with a mission-driven organization.

Develop, test, deploy, and maintain RPA solutions using Microsoft Power Automate Desktop, with emphasis on Finance workflows. Identify automation opportunities, design reusable components, integrate Microsoft and third-party systems, document processes, troubleshoot exceptions, train stakeholders, and support governance, security, and compliance standards.

Leads enterprise data integration strategy, tool selection, solution design, implementation, monitoring, and maintenance across on-premise and cloud systems. Collaborates with IT and business stakeholders to define integration requirements, ensure data integrity and governance compliance, troubleshoot issues, document architectures, and improve integration capabilities using APIs, middleware, ETL tools, databases, and cloud services.

Implements, configures, deploys, and supports software platforms and HL7 interfaces. Troubleshoots operating systems, databases, VPN connectivity, and application integrations; manages customer support tickets, SLAs, documentation, and implementation timelines. Advises customers on technical requirements, collaborates across teams to improve reliability, and participates in an on-call rotation.