"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 a day with?

• You will work in the cancer screening research department, with a group of enthusiastic and talented AI researchers and engineers. We contribute to real-world products, while also solving meaningful and applied research projects.
• The teams and members of the department have diverse cultural backgrounds(9 nationalities!), experience, and interests. Some of us are passionate about engineering, others about model-centric AI, and some 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 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 early diagnosis of cancer. Our software has been recognized as best-in-class worldwide and is being used in real-world hospitals, laboratories, and research studies.
• Your work will push forward our AI research validation and performance of Lunit’s AI models. 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 research projects span a variety of topics, including but not restricted to performance diagnostics, causality, domain generalization, drift detection and model fairness.
• 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

• 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, in particular medical images.
• Open 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:
• Causal Inference / PGMs
• Explainable AI
• First-author publications in top-tier conference 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).
• Contribution 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 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 new office is one minute away by foot 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
• Provide the latest computer models, such as Macs and 4K monitors, and renew them every three years

• 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 gift: Seollal and Chuseok gift/voucher
• Annual medical checkups and employee accident insurance are provided
• Financial support for participation in employee gatherings (once a month)