Jobs at VoxelCloud

Support the Data team by building and maintaining scalable ETL pipelines and data infrastructure for multi-modal medical datasets, automate data QA, optimize data delivery on cloud platforms, and provide analytics tools and secure cross-border data storage.

Manage and maintain IT infrastructure for the data team: deploy reliable systems, ensure data/network security and backups, design policies and procedures, audit systems, identify and fix issues, control IT assets and budget, and implement cost-effective strategic solutions.

Lead the Ophthalmology AI product team: define product specs, manage roadmap, guide engineering, identify growth, design and supervise clinical trials, support FDA clearance, and assist GTM and deployment with business and field teams.

Lead VoxelCloud's regulatory strategy and execution for medical imaging AI products. Manage FDA interactions, submissions (pre-sub, 510(k), De Novo), audits, and compliance; advise on clinical trial design and product planning; build regulatory processes and represent the company to regulators and external stakeholders.

Develop and deploy deep learning models for medical imaging: prototype and production work, design and run experiments, document results, collaborate on data labeling, and optimize models for inference and deployment.

Lead VoxelCloud's technology organization to productize medical-imaging AI: build and manage data and engineering teams, develop ML/DL models and UI/UX, optimize data annotation, ensure regulatory and security compliance, support clinical trials and FDA clearance, and manage tech budget and deployments.

Design and develop API-driven software products using agile practices. Translate user stories into designs and architectures, collaborate with product, data science and ML teams, own development decisions, and adapt to changing requirements. Emphasis on enterprise software delivery, databases, and healthcare imaging interoperability.

Develop and maintain HL7/FHIR and DICOM interfaces between the company's AI imaging system and hospital systems. Integrate heterogeneous on-prem and cloud networks, write/review/test code, work with IT teams and vendors, deploy to customer sites, and provide troubleshooting and ongoing maintenance.

Develop and productionize deep learning models for computer vision and NLP on medical imaging products. Design and run experiments, document results, collaborate on data labeling, write deployment/docker code, optimize inference speed, and conduct DL methodology research.