Jobs at ScreenPoint Medical

The Customer Success Manager will oversee the customer lifecycle, ensuring satisfaction and retention, identifying expansion opportunities, and delivering training and value to clients in the medical imaging sector.

As a QA Test Engineer, you will design and execute validation tests for medical software, including automated testing and collaboration with experts in various fields.

Lead and scale channel partnerships across the Americas for Transpara. Develop partner business plans, own channel revenue and ARR targets, enable partners with training, align GTM with Sales/Marketing/Product, manage pipeline and forecasting via CRM/PRM, conduct business reviews, and drive market expansion with 30–40% travel.

The Sales Director will drive sales growth in the Central USA for AI breast imaging products, manage the entire sales cycle, and collaborate with teams to enhance market presence.

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.