
UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT)
Remote Jobs
The academic home for applied clinical informatics researchers within the UCSF Department of Medicine.
2 Jobs
Web3 Developer – Blockchain, Decentralized Applications
UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT)The academic home for applied clinical informatics researchers within the UCSF Department of Medicine.
• Develop smart contracts on Ethereum / Polygon / Optimism, ensuring security, efficiency, and scalability • Implement decentralized identity (DID) and verifiable credentials using tools like Spruce ID or Ceramic • Design and integrate oracles and cross-chain bridges for real-world data synchronization (Chainlink, The Graph) • Develop and maintain Web3 APIs (GraphQL, The Graph, REST) to enable seamless blockchain interaction • Work with IPFS / Arweave for decentralized storage solutions • Optimize gas fees and Layer2 rollup transactions for efficient blockchain interactions • Collaborate with frontend developers to integrate Web3 functionalities into a React/Vue.js UI • Implement decentralized governance mechanisms (Snapshot, Aragon) for community participation • Ensure smart contract audits, formal verification, and security best practices • Integrate WalletConnect, MetaMask, and other Web3 authentication tools for seamless user access.
Custom GPT Expert, AI Consultant
UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT)The academic home for applied clinical informatics researchers within the UCSF Department of Medicine.
• Consult with clients to understand business needs and define AI-powered PoC/MVP requirements. • Create Custom GPT's by working with clients' own data. • Design and develop lightweight AI prototypes and MVPs leveraging custom GPTs and OpenAI APIs. • Implement and fine-tune GPT models for specific industry use cases. • Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG). • Integrate AI into client workflows using APIs, automation tools, and third-party systems. • Provide technical guidance on AI feasibility, limitations, and scalability for future development. • Stay ahead of AI trends to recommend best practices and innovative solutions.