Company: Qureator Inc. / Curiochips
Location: Seoul, South Korea
Employment Type: Full-time (Alternative Military Service Eligible)
About QureatorQureator is a TechBio company developing AI and next-generation drug discovery platforms based on our proprietary 3D organ-on-a-chip technology, Curiochips®. Leveraging advanced Microphysiological Systems (MPS), we build highly predictive human disease models that closely recapitulate human physiology and pathology, enabling the evaluation of drug efficacy, mechanism of action, and disease biology in a physiologically relevant setting.
Our platform generates petabyte-scale, 3D fluorescence imaging data from human-derived tissues. By combining AI, computer vision, machine learning, and quantitative biology, we transform these datasets into actionable insights for target discovery, drug response prediction, and patient stratification. Through collaborations with leading pharmaceutical companies, biotechnology firms, hospitals, and research institutions worldwide, we are accelerating the development of transformative therapies for cancer and rare diseases.
The RoleThe position is for a Data Scientist with expertise in computer vision, machine learning, and quantitative image analysis. You will lead the design and development of AI systems for large-scale bioimage analysis and drug discovery applications and work closely with biologists and engineers to drive scientific discovery.
This is a unique opportunity to build foundational AI and analytics systems at the intersection of biology, imaging, and drug discovery.
Key Responsibilities- Lead development of scalable AI and computer vision systems.
- Define technical strategy for image analysis and machine learning platforms.
- Drive model development from conception to production deployment.
- Establish best practices for MLOps, experimentation, and data quality.
- Collaborate with cross-functional stakeholders to identify high-impact opportunities.
- Develop and deploy scalable pipelines for 3D microscopy image analysis.
- Apply state-of-the-art computer vision and deep learning methods for segmentation, detection, tracking, and feature extraction.
- Use agentic AI teams to scale ML processes while maintaining high quality.
- Own the ML lifecycle from data processing and annotation strategy to model training, validation, and deployment.
- Stay at the forefront of advances in bioimage analysis, machine learning, and computational biology.
Qualifications- MS or PhD (preferred) with significant industry experience in Bioengineering, Computer Science, or a related quantitative discipline.
- Demonstrated expertise in computer vision, machine learning, statistics, and data analysis.
- Track record of independently leading technical projects.
- Strong software engineering and MLOps experience.
- Proficiency in Python and relevant libraries/frameworks (e.g., PyTorch, TensorFlow, OpenCV, scikit-image).
- Proficiency in version control tools like git and dvc.
- Strong problem-solving skills with the ability to independently tackle complex scientific and technical challenges.
- Experience developing data-driven solutions for complex scientific or engineering problems.
- Excellent communication and stakeholder management skills.
Preferred Skills- Experience deploying ML systems at scale.
- Experience with microscopy or bioimage analysis.
- Experience with cloud platforms (AWS, GCP) and MLOps workflows.
- Familiarity with workflow orchestration tools such as Kedro, Airflow, or Nextflow.
- Publications or project portfolio demonstrating relevant research or technical contributions.
- Strong English communication skills.
Benefits and CultureWe are committed to creating an environment where you can do your best work. We offer a competitive salary, stock options, and a comprehensive benefits package, including:
- Hybrid and flexible work models.
- Support for professional development, including conferences and education.
- An open, collaborative, and horizontal organizational structure.
- Close collaboration with US-based teams in a global working environment.
- Alternative Military Service Program Available.
