Jobs at ScreenPoint Medical

Lead cloud infrastructure, CI/CD pipelines, deployment strategy, and production operations. Ensure reliable, secure, scalable systems through monitoring, automation, incident response, security improvements, and operational reviews. Collaborate with software engineering, QA, and infrastructure teams to streamline workflows, mentor engineers, and support platform growth.

Leads the Product function, portfolio strategy, product prioritization, development, launch, and market adoption for clinical AI and medical imaging products. Builds and coaches the Product Management organization, aligns engineering, AI, clinical, regulatory, commercial, and partner teams, and guides roadmap decisions using clinical evidence and customer insights. Requires extensive software product leadership, regulated SaMD and medical imaging experience, cloud or SaaS delivery expertise, and the ability to operate across complex stakeholder environments.

Lead AI enablement by identifying workflows for automation, building production-grade LLM and AI tools, driving internal adoption, and operating the supporting AWS, GitOps, CI/CD, and Kubernetes platform. Own solutions end to end from stakeholder discovery through deployment, observability, scaling, cost management, and production support.

Design, build, deploy, and maintain scalable platform and infrastructure systems across multiple services. Own features end to end, improve CI/CD pipelines and cloud infrastructure, automate manual processes, and enhance reliability, testing, code quality, observability, and developer workflows. Collaborate with product, data, and engineering teams while contributing to system architecture, technical discussions, mentoring, and responsible use of AI tools.

The AI Research Engineer will design and implement AI models for clinical applications, collaborate with clinical scientists, mentor research scientists, and analyze model performance in breast cancer care.

Hands-on senior cloud engineer responsible for building and operating secure, resilient cloud infrastructure. Own infrastructure-as-code, observability, security, and operational excellence. Translate architecture and regulatory requirements into scalable solutions, lead cross-team cloud initiatives, mentor engineers, and support compliance with standards like ISO 27001 and IEC 62304 where relevant.

The Data Engineer will design and maintain data pipelines for medical imaging, support data lifecycle processes, and improve legacy datasets while ensuring compliance with regulatory standards.

As a Software Engineer, you'll design, build, and maintain scalable systems, improve CI/CD pipelines, collaborate across teams, and ensure code quality and reliability.

Six-month (or longer) master-level internship contributing to development and validation of deep learning models on breast imaging. Work with engineers and researchers using in-house datasets to train, experiment, and validate models that improve breast cancer detection and clinical outcomes.

ScreenPoint Medical seeks talented individuals to join their teams, focusing on AI applications for breast cancer. Candidates can submit CVs and motivation letters for consideration.