The Research Engineer Intern at Lunit will collaborate with research engineers on AI frameworks related to cancer care. Responsibilities include benchmarking AI models, integrating them into products, and researching computer vision issues such as semantic segmentation.

As a Data Scientist at Lunit, you will develop AI solutions that enhance cancer diagnosis through advanced statistical analysis and collaboration with multidisciplinary teams. Your contributions will push the boundaries of AI research and directly impact cancer treatment outcomes.

As a Technical Program Manager for AI Platform, you will lead projects within the software development lifecycle, manage project risks, and coordinate cross-functional teams, ensuring successful delivery of AI-powered products in cancer care.

As an Applied Research Scientist at Lunit, you will develop AI models for cancer detection and treatment, collaborate with a team of researchers and medical professionals, and push forward AI research frameworks. You will apply machine learning and medical image analysis techniques to improve patient outcomes and contribute to high-quality research publications.

The Program Manager at Lunit will oversee and coordinate multiple projects in the medical device sector, ensuring alignment with strategic goals. Responsibilities include risk management, resource optimization, communication with stakeholders, and ensuring compliance with industry regulations.

The Senior Backend Engineer will develop and maintain server-side applications for AI-driven cancer care, focusing on backend API services, optimization, and infrastructure management. They will support the integration of third-party services, ensure application reliability, and mentor junior engineers, working within a collaborative international team.

As a Senior Product Manager at Lunit, you will lead the product development process for AI-driven healthcare solutions, collaborating with engineering, research, design, and marketing teams. Responsibilities include defining product strategy, overseeing the full product lifecycle, conducting market research, ensuring compliance with regulations, and monitoring product performance, all aimed at improving cancer treatment through innovative technology.

The role involves advancing AI models for cancer treatment using image analysis, collaborating with medical professionals and engineers, and contributing to research publications. Responsibilities include designing, implementing AI models, and improving the company's technological capabilities through high-quality coding and innovative projects.

The Senior Product Manager at Lunit will lead the product development from concept to launch, working with engineering, design, and other internal teams to define product strategy and prioritize initiatives. The role involves market analysis, performance monitoring, and ensuring compliance with industry standards.