IT Service Desk Specialist
Provide IT support and troubleshooting for macOS/Windows laptops, collaboration tools, and office tech. Manage onboarding, access requests, asset tracking, and training.
AI-powered pathology for biopharma and diagnostics
PathAI builds AI models and digital pathology platforms to analyze tissue samples, improving diagnostic accuracy for diseases like cancer. They serve biopharma companies for drug development, clinical trials, and pathology labs for workflow optimization. This accelerates therapies to patients and enhances precision medicine.
Provide IT support and troubleshooting for macOS/Windows laptops, collaboration tools, and office tech. Manage onboarding, access requests, asset tracking, and training.
Designs, develops, and deploys ML models for research and product development in pathology AI, collaborating with scientists and engineers on biological/clinical applications. Requires Master's/PhD, Python/ML expertise, production deployment experience; leads projects at senior levels.
Develop and evaluate ML models and pipelines for AI products in healthcare, collaborating with MLOps teams on subprojects. Requires pursuing MS/PhD in CS/EE/BME with ML/CV focus, strong Python, and PyTorch/TensorFlow experience.
Leads biopharma product launches, owns messaging, campaigns, collateral, and conference execution. Requires 2-5+ years product marketing in healthcare, strong writing/design skills, and cross-functional collaboration.
Serves as pathology expert collaborating with biopharma partners, ML scientists, and teams on clinical trials, biomarker projects, and AI model development. Requires US board certification in anatomic pathology, expertise in IHC, biomarkers, and digital pathology.
Builds and architects fullstack features for a SaaS clinical trial platform using Python backends and modern JS frameworks. Collaborates across teams to ensure reliability, compliance, and high standards. Requires 5+ years experience and CS bachelor's.
Leads MLOps team to build scalable ML infrastructure, manage engineering resources, and drive roadmap for ML deployment. Requires 2+ years managing teams, expertise in Kubernetes, cloud platforms, and ML workflows; bachelor's/master's degree preferred.
Designs, builds, and operates data centers and hybrid cloud infrastructure for ML workloads, implementing SRE practices with automation, monitoring, and reliability improvements. Requires 8+ years experience in infrastructure ops, IaC, and observability tools.