(Seoul) Data Scientist · Lunit INSIGHT - Professional Experience Possible

"Conquering Cancer Through AI" Lunit, a word-play on 'Learning unit', is a medical AI software company dedicated to delivering AI-powered total cancer care. Our AI solutions help discover cancer and predict cancer treatment outcomes, achieving timely and personally-customized cancer treatment. About the Team Who will I spend 8 hours a day with? You will work in the cancer screening research department, with a group of excited and talented AI researchers and engineers. We contribute to real-world products while also tackling important and applied research projects. The teams and members of the department come from diverse cultural backgrounds (9 nationalities!), experiences, and interests. Some of us are passionate about engineering, others about model-centric AI, and others about data-centric AI. In the end, we are all proud of contributing to improving the lives of cancer patients. How do we bond as a team? Our team encourages a friendly and open environment, supporting 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 early diagnosis of cancer. Our software has been recognized as the best in its class worldwide and is being used in real-world hospitals, laboratories, and research studies. Your work will drive forward our AI research validation and performance of Lunit’s AI models. Lunit has the 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 research projects cover a variety of topics, including but not limited to performance diagnostics, causality, domain generalization, drift detection, and model fairness. We give 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 multidisciplinary teams. Roles & Responsibilities Develop and implement AI-solutions to advance the suite of Lunit’s products and the state-of-the-art of AI in medical image analysis. Work closely with medical doctors, product managers, and engineers to develop features that push forward our AI models and methodologies. Contribute to the statistical analysis of AI models and datasets used to train the models, promote data integrity, derive clinical insights from data and other data-related activities. Push the organization’s technological advancement and publish the outcomes at top-tier journals and conferences, or other means of public dissemination. Tools Used Programming languages/framework: Python, PyTorch, SKlearn, Statsmodels, Prefect. Infrastructure: Google Cloud Platform. General: Git, Docker, Confluence, Jira. Requirements Qualifications At least 5 years of experience in a discipline related to data science or statistics. Solid experience with Git, Python, unit/integration testing, multithreading, etc. Solid experience with developing and evaluating machine learning models for real-world applications. Experience in bringing data products into production (software/data engineering skills). Solid experience in working in multidisciplinary teams, communicating and advocating ideas. Highly responsible, eye for detail, and motivated to build high quality and reliable solutions following the current best practices. Preferred Experiences Experience working with image data, especially medical images. Willingness to relocate to Lunit HQ in Seoul. Experience in deploying and monitoring machine learning systems. Expertise in a data-centric area of AI and Machine Learning such as Causal Inference / PGMs and Explainable AI. First-author publications in top-tier conferences in Machine Learning, Data Science or related. Experience with cloud computing (e.g., GCP, AWS, or Azure). Solid understanding and awareness of recent trends in AI Research (e.g., LLM, Stable Diffusion, Vision Transformers, Self-supervised Learning). Contributions to open-source software. Proactive in sharing knowledge, initiating collaborations, and promoting a positive research environment. Passion for high-quality programming and software engineering to produce and maintain reliable code for the training and evaluation of models. Passion for advancing healthcare and combating cancer through AI research. How to Apply CV (resume, free format, in English) Hiring Process - Document Screening → Introductory Interview → Assignment → Competency-based interview → Culture-fit Interview → Onboarding - All interviews are conducted in English - 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) - 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 to giving preferential processing to those eligible for employment protection (national merits and people with disabilities) relevant to related laws and regulations. Benefits Benefits & Perk - The new office is a minute's walk from Gangnam Station Exit 3, making it very convenient. - Up to 12,000 won is covered for both lunch and dinner when working at the office. - Up to 300,000 won is covered upon joining to decorate your personal workspace. - We provide the latest computer models, such as Macs and 4K monitors, and renew them every three years. - Costs for attending seminars and purchasing books are covered. - Regular in-house AI and medical seminars are held. - Korean language education is provided for Lunitians who do not speak Korean as their first language. - Access high-quality AI learning resources & deep learning DevOps system. - Up to 1.2 million won worth of benefits points can be claimed annually. - Korean National holiday gifts: Seollal and Chuseok gift/voucher. - Annual medical checkups and employee accident insurance are provided. - Financial support for participation in employee gatherings (once a month).