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 Lunit’s portfolio includes AI algorithms that analyze medical images—such as digital pathology, CT, mammography, and chest X-rays—to support cancer detection and treatment decisions. With 200+ publications and abstracts, 100+ research partnerships with leading institutions, and multiple FDA-cleared AI solutions, Lunit is at the forefront of medical AI. Lunit is organized into two specialized groups aligned to our mission: Cancer Screening Group: Focused on early and accurate cancer detection, primarily through radiology analysis. Oncology Group: Focused on understanding cancer biology to optimize treatment planning, currently with an emphasis on digital pathology. As our mission evolves, we will continue expanding data modalities to further enhance cancer care. 🗨️ About the Position We are seeking a passionate Medical Director for our Oncology Group to lead the research and development of groundbreaking AI-powered oncology solutions. This role will oversee clinical research activities and play a crucial role in developing AI models and biomarker algorithms. The ideal candidate will have a deep understanding of clinical science, a genuine interest in medical AI, strong problem-solving and analytical thinking. If you have a passion for bringing true innovation in medicine through technology, love a competitive yet rewarding environment, and enjoy collaborating with diverse groups, this is the perfect role for you. 🚩 Roles & Responsibilities Commercial development of AI-powered oncology biomarkers in close collaboration with AI, software, and business teams. Participating in global business projects related to AI-powered oncology biomarkers. Providing medical expertise and managing scientific communication. Clinical research of AI-powered oncology biomarkers: Conducting internal and external collaborative research using diverse pathology-based AI models. Summarizing research findings for abstract presentations at major conferences (ASCO, ESMO, SITC) and writing research papers. Communicating with external clinical researchers regarding collaborative studies. Development and improvement of AI model and derived biomarker algorithms: Collaborating with the AI research team to train new models and establish improvement directions for existing models. Establishing an overall data collection plan and performing initial data preprocessing. Evaluating AI model performance and proposing improvement strategies based on clinical requirements. Requirements 🎯 Qualifications MD, PharmD, or MS/PhD (biostatistics, bioinformatics, or related), or significant work experience in cancer biology/therapeutics, with graduation within the last 10 years (within 5 years for PhD). Experience in clinical data analysis using R, Python, or other languages Deep understanding and knowledge of AI Proven track record of successfully conducting medical research Excellent communication and presentation skills, with the ability to convey complex scientific concepts and clinical data to diverse audiences Strong strategic and analytical skills, with demonstrated success in conducting medical research Demonstrated ability to work effectively in a fast-paced, cross-functional environment Able to communicate professionally in English and collaborate closely with international colleagues across different time zones 🏅 Preferred Experiences MD with residency and/or fellowship training Experience in leading at least 1 clinical research project in a lead role Major authorships of medical papers: ≥1 paper (IF 10+ journal) or ≥2 papers (IF 5+ journal) Deep understanding of statistics and clinical data analysis Direct experience in AI model development in the medical field Knowledge of biomarkers, companion diagnostics, or immuno-oncology 📝How to Apply CV (English, free format) Please include a publication list if applicable 🏃‍♀️ Hiring Process Document Screening → Competency-based Interview → Competency-based Interview2 → Culture-fit Interview → Onboarding After the document screening, we may proceed with a phone screening if needed. After the final interview, we may proceed with reference checks if needed. 🤝 Work Conditions and Environment Work Type: Full-Time 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.