(Global) Senior Applied Research Scientist

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 the AI Division (Oncology or Cancer Screening AI Research Departments), with a group of enthusiastic and talented AI research scientists 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 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 or 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 frameworks, inference engines, 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 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 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 Research Engineers to develop novel projects that align well with Lunit's needs in the present and future.
• Contribute to the internal research codebases with high-quality code and development standards.
• 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, MLFlow, Ray, Prefect
• Infrastructure: Google Cloud Platform
• General: Git, Docker, Confluence, Jira

Requirements

Qualifications

• 5+ years of research experience in machine learning or deep learning (in academia or industry), preferably focusing on computer vision, medical image analysis, or natural language processing.
• Masters or Doctorate in computer science, biomedical engineering, electrical engineering or a related field.
• Solid understanding of and experience with contemporary machine learning and image analysis techniques, and related software packages (e.g., deep neural nets, PyTorch, Tensorflow).
• Strong interest to work on medical problems and advance the standard of care using AI.
• Excellent written and verbal communication skills in English.
• Experience in need-finding and designing ML-based software systems and deploying them to production environments.
• Highly responsible, have an eye for detail and motivated to build high quality and reliable solutions following the current best practices.
• Team player with experience working in interdisciplinary research teams.

Preferred Experiences

• 7+ years of research experience and 2+ years of industrial research experience. (e.g., PhD + 2 years of industry experience or Masters + 5 years of industry experience)
• Solid experience with Git, Python, unit/integration testing, multithreading, and other software development practices.
• Experience working with image data, in particular medical images.
• First-author publications in top-tier Computer Vision or Medical Imaging conferences or journals (CVPR/ICCV/ECCV, NeurIPS/ICLR/MedIA/T-MI/MICCAI), or top-tier clinical journals. (e.g., Nature Medicine, JAMA, Lancet Digital Health).
• Passion for advancing healthcare and combating cancer through AI research.
• Proactive in sharing knowledge, initiating collaborations, and promoting a positive research environment.
• Solid understanding and awareness of recent trends in AI Research. (e.g., LLM, Stable Diffusion, Vision Transformers, Self-supervised Learning)
• Contributions to open-source repositories in Computer Vision, Machine Learning, or related areas.
• Participation in competitive Computer Vision/Medical Imaging challenges.
• Passion for high-quality programming and software engineering to produce and maintain reliable code for the training and evaluation of models.

How to Apply

• CV (resume, free format, in English)

Hiring Process

• Document Screening
• Introductory Interview
• Technical Interview
• Presentation 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, 06241, Republic of Korea)
• Alternatively: fully-remote in France, Germany, Netherlands, UK, Ireland
• 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 providing preferential processing to those eligible for employment protection (national merits and people with disabilities) relevant to related laws and regulations.

Benefits

Benefits & Perks for full-time Lunitians working in Seoul office

• 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).