(Seoul) Senior Applied Research Scientist · Precision Oncology

"Conquering cancer through AI" Lunit, a portmanteau of ‘Learning unit,’ is a medical AI software company devoted to providing AI-powered total cancer care. Our AI solutions help discover cancer and predict cancer treatment outcomes, achieving timely and individually-tailored cancer treatment.

🗨️ About the Team Who will I spend 8+ hours/day with? • You will work in Oncology AI Research Department, with a group of enthusiastic and talented AI research scientists and engineers. We build products that matter, while tackling meaningful applied research problems along the way. • The teams and members of the department have diverse cultural backgrounds, experience, and interests. Some of us are passionate about engineering, others about model-centric AI, and some others about data-centric AI. But we are all united by a shared commitment to improving the lives of cancer patients.

How do they bond as a team? • Our team fosters a friendly and open environment, encouraging idea sharing and collaboration in research, engineering, and team events. Activities include research seminars, research workshops, attending top-tier conferences, and team meals.

🗨️ About the Position What will make me proud to work here? • You will have a direct impact on our mission to Conquer Cancer Through AI by contributing to more personalized treatment planning for cancer patients. Our software has been recognized as best-in-class worldwide and is being used in real-world hospitals, top-tier pharmaceutical companies, laboratories, and research studies. • Your work will push forward the performance of Lunit’s AI models, AI research frameworks, and AI inference engines. Lunit has best-in-class products thanks to these components. • We have access to very large in-house labeled and unlabeled datasets. And, the cloud computing power to leverage them. • Current projects span a variety of topics, including but not restricted to object detection, semantic segmentation, large scale self-supervised learning, domain generalization, active learning, multi-task learning, ML pipelines, among others. • We contribute back to the community through publications, blog posts, dataset releases, and the organization of public events such as machine learning challenges or tutorials. • Experience personal and professional growth by working on diverse projects and collaborating with talented multi-disciplinary teams

🚩 Roles & Responsibilities • Propose, design, and implement AI models that address real-world challenges in Lunit's Oncology products and advance the state-of-the-art in computational pathology. • Collaborate with pharmaceutical and clinical partners to translate AI research into clinically meaningful biomarker solutions. • Work closely with Research Engineers, Medical Doctors, Product Managers, and Product Engineers to deliver best-in-class CPATH products. • Contribute to internal research codebases with high-quality code and rigorous development standards. • Mentor junior researchers and actively contribute to the team's technical growth. • Push the organization’s technological advancement and publish the outcomes at top-tier journals and conferences, or other means of public dissemination.