# (Seoul) Senior Applied Research Scientist · Precision Oncology > Lunit · Seoul, South Korea · Full-time · Posted 2026-03-16 **Workplace:** on_site **Department:** Research ## Description ### "Conquering cancer through AI" ![](https://workablehr.s3.amazonaws.com/uploads/photos/465794/d00310aa650aceb8a49a6d850f65801c.jpg) 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. ## Requirements **🎯 Qualifications** - Master's or Doctoral degree in Computer Science, Biomedical Engineering, Signal Processing, or a related field. - 5+ years of research experience in machine learning or deep learning (Master's + 4 years or PhD + 1 year), with a preference for computer vision, medical image analysis, or natural language processing. - Strong working knowledge of contemporary machine learning and image analysis techniques, and relevant software frameworks and libraries (e.g., Transformers, ConvNets, OpenCV, PyTorch). - Proven ability to identify high-impact research problems and translate them into deployable ML solutions. - Strong motivation to work on medically impactful problems and contribute to advancing the standard of care through AI. - Capable of handling day-to-day business communication in English (written or verbal). - Highly responsible, with an eye for detail and motivated to build high-quality and reliable solutions following the current best practices. - Collaborative team player with experience in interdisciplinary research environments. **🏅 Preferred Experiences** - 7+ years of research experience, including 2+ years in an industrial research setting (e.g., PhD + 2 years industry or Master's + 5 years industry). - Solid experience with Git, Python, large-scale data processing, AI/LLM-augmented research, and other software development practices. - Hands-on experience working with image data, particularly medical or histopathology images. - First-author publications at top-tier Computer Vision or Medical Imaging venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, MedIA, TMI, MICCAI) or leading clinical journals (e.g., Nature Medicine, JAMA, Lancet Digital Health). - Proactive in knowledge sharing, cross-functional collaboration, and fostering a positive research culture. - Passion for high-quality programming and software engineering to produce and maintain reliable code for the training and evaluation of models. - Up-to-date awareness of emerging trends and recent advances in AI research. - Contributions to open-source repositories in Computer Vision, Machine Learning, or related areas. - Participation in competitive Computer Vision/Medical Imaging challenges. **📝How to Apply** - CV (**English**, free format) - Other relevant material (Optional) **🏃‍♀️ Hiring Process** - Document Screening → Introductory Interview → Technical Interview → Presentation interview→ Culture-fit Interview → Onboarding - After the final interview, we may proceed with reference checks if needed **🤝 Work Conditions and Environment** - Work Type: Full-Time(3-month probation) - Work Location : Lunit HQ (5F, 374, Gangnam-daero, Gangnam-gu, Seoul, 06241, Republic of Korea) - Salary: After Negotiation **🎸 ETC** - If you misrepresent your experience or education or provide false or fraudulent information in or with your application, it may be grounds for cancellation of the employment. - Lunit is committed in providing the preferential processing to those eligible for employment protection (national merits and people with disabilities) relevant to related laws and regulations. ## Benefits 🌻**Benefits & Perks** - The office is at a very convenient location, just a minute away from Gangnam Station Exit 3. - Meal Allowance is provided (up to 12,000 KRW per meal) when working at the office. - Latest computer models, such as Macs and 4K monitors are provided and can be renewed every three years. - Seminar registration fees and book purchases are covered. - Regular in-house AI and medical seminars are held. - In-house English lessons (aka Luniversal) is provided for English development. - Access to high-quality AI learning resources & deep learning DevOps system. - Up to 1.2 million KRW worth of benefits points can be claimed annually. - Holiday Allowances are provided in the form of gifts or vouchers for Korean National holidays, Seollal and Chuseok. - Congratulatory and Condolence allowances, along with paid time off are provided. - Annual medical checkups and employee accident insurance are provided. ## Apply [Apply at Lunit](https://apply.workable.com/lunit/j/D7E0C34E01/apply) --- Powered by [Workable](https://www.workable.com)