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(seoul) Data Scientist · Lunit Insight, Korea South

게시됨 2024-10-01
만료 2024-11-01
ID #2371573924
Free
(seoul) Data Scientist · Lunit Insight, Korea South
Korea South, 서울, 서울,
게시됨 October 1, 2024

설명

"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, Py Torch, 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(5 F, 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 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.

Up to 300,000 KRW is covered upon joining to decorate your personal workspace.

Latest computer models, such as Macs and 4 K 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 Dev Ops 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.

Expenses for monthly employees gatherings are partially covered.

작업 세부 정보:

직업 종류: 풀 타임
계약 유형: 영구적인
급여 유형: 월간 간행물
직업: (seoul) data scientist · lunit insight

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