Biomedical Data Engineer 구성원 영입

직무데이터 엔지니어링

경력중급

위치Gyeonggi, South Korea

근무오피스 출근

고용경력 / 정규

게시오늘

포지션 소개

직무소개

We are seeking a Senior Biomedical Data Engineer to build the biomedical data foundation powering AI-driven drug discovery and translational research
As a pharmaceutical company developing AI-native R&D capabilities, we aim to integrate multimodal biomedical data into standardized, AI-ready datasets
These datasets will support foundation models, AI agents, and Digital Twin technologies
The successful candidate will establish scalable biomedical data pipelines, ontologies, and knowledge engineering workflows that become core capabilities of our AI platform

담당업무 및 역할

Design, develop, and maintain biomedical data pipelines integrating internal and external datasets
Develop standardized, AI-ready multimodal biomedical datasets for AI and foundation model development
Design and implement biomedical data models for structured and unstructured data
Develop and optimize ETL workflows to support large-scale biomedical data processing
Design biomedical ontologies, metadata standards, and knowledge graphs.
Perform data harmonization, normalization, metadata management, and data quality validation across heterogeneous biomedical data sources
Collaborate with AI scientists to prepare AI-ready datasets supporting machine learning and biomedical foundation model development
Evaluate external biomedical databases and support long-term data acquisition strategies
Contribute to the continuous improvement of the biomedical data platform, data governance practices, and engineering practices

지원자격

Education : Bachelor's degree or higher
Major : Bioinformatics, Computational Biology, Data Science, Data Engineering, Computer Science, or related fields
Experience : 8-18 years of Experience designing and implementing biomedical or healthcare data platforms or large-scale data engineering solutions
Strong proficiency in Python and SQL
Hands-on Experience developing production-grade ETL pipelines and data integration workflows
Experience with cloud-based data platforms (AWS)
Experience working with structure and unstructured multimodal biomedical or healthcare data
Strong understanding of data modeling, metadata management, and data quality assurance
Excellent communication and collaboration skills in cross-functional research environments

우대사항

Experience with genomics, transcriptomics, proteomics, imaging, or other multimodal biomedical datasets
Experience with biomedical ontologies or knowledge graphs
Experience with LLM-based information extraction
Experience supporting foundation model development
Experience in AI-driven drug discovery

전형절차서류전형 > 필기전형(SKCT) > 면접전형 > 채용검진/처우협의 > 최종합격

근무지

기타사항

Application
period

August 21, 2026(Fri)~September 06, 2026(Sun)

Closing time

23:59

Company

SK biopharmaceuticals

Job

기타