About the job
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
Who We're Looking For
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
Preferred Qualifications
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
Recruiting Process
전형절차
서류전형 > 필기전형(SKCT) > 면접전형 > 채용검진/처우협의 > 최종합격
- 전형절차/일정은 상황에 따라 변동될 수 있으며, 전형 결과에 따라 추가 절차(인터뷰 등)가 진행될 수 있습니다.
- 채용 과정 중 필요 시, 지원자의 경력 및 평판 확인을 위해 레퍼런스 체크가 진행될 수 있습니다.
Please Read Before Applying
근무지
- 경기도 판교
기타사항
- 국가 보훈 대상자 및 장애인은 관련법에 의거 우대합니다.
- 석,박사 학위 소지자의 경우 학사를 포함한 전체 학력 정보를 기입해 주시기 바랍니다.
- Search Firm과 SK Careers 포털 간 중복 지원은 불가합니다.
- 당사 채용 공고 및 SK그룹 계열사 채용 공고 간 중복 지원은 불가합니다.
- 병역필 또는 면제자로서 해외 여행에 결격 사유가 없는 분에 한하여 지원이 가능합니다.
Biomedical Data Engineer 구성원 영입
지원 기간
August 21, 2026(Fri)~September 06, 2026(Sun)
마감 시간
23:59
회사
SK biopharmaceuticals
직무
기타
구분
Experienced
지역
Gyeonggi/Incheon - 판교
유형
Permanent