Lead/Staff Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote) Wolters Kluwer N.V.Lead/Staff Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote)NJRemoteStrong full‑stack development skills and cloud experience (AWS/Azure/GCP).Expert in at least one, and proficient across the others:AI Agent development and evaluationBackend developmentFrontend developmentCloud services (AWS/Azure/GCP)CI/CD and Infrastructure as CodeSite Reliability Engineering (SRE)Quality engineering / testing strategySecure SDLC and privacy by designProven track record delivering secure, reliable, cloud‑native systems to production. TypeScript, Node.js, React, Python, LangChain/LangGraph, MCP/A2A, RustAWS (primary), Azure, GCP; Docker, Terraform, GitHub ActionsDocumentDB, DynamoDB, OpenSearch, Azure AI SearchAzure OpenAI, AWS Anthropic, Google GeminiGitHub, Confluence, SlackWhat you'll doDesign and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
Clinical Research Change Management Consultant VitaliefClinical Research Change Management ConsultantNew Brunswick, New JerseyRemoteThe ideal candidate brings deep expertise in organizational transformation and change management within complex healthcare and research environments, with a proven ability to drive stakeholder alignment, operational adoption, and sustainable process improvement across multi-site systems. Conduct in-depth interviews with clinical research staff and stakeholders across the clinical trial lifecycle to identify operational gaps, bottlenecks, communication challenges, and improvement opportunities across Oncology and Non-Oncology programs.
Senior Clinical Research Associate-Contractor Systimmune IncSenior Clinical Research Associate-ContractorPrinceton, NJRemoteSystImmune currently has multiple assets in clinical development across solid tumor and hematologic malignancies, supported by a robust preclinical pipeline advancing novel oncology therapeutics through discovery and IND-enabling stages. The ideal candidate is a highly organized, self-motivated clinical operations professional with strong oncology monitoring experience who can work independently while collaborating effectively with cross-functional teams and external vendors.