About the job
직무소개
- We are seeking an AI Research Engineer to build an AI-driven drug discovery system as part of our Translational Research platform (TR-AX), accelerating hit-to-lead and lead optimization
- The role will combine LLM-based AI agents with drug discovery AI models to automate the path from data to optimized drug candidates
- The successful candidate will develop multi-agent AI systems and AI models for drug discovery, including molecular property prediction, molecular generation and optimization, and multi-parameter optim
- The successful candidate will develop multi-agent AI systems and AI models for drug discovery, including molecular property prediction, generation, optimization, and MPO
- The role will work closely with domain experts to apply these systems and models to real-world drug discovery workflows
담당업무 및 역할
LLM-based Multi-Agent AI Systems
- Research and develop LLM-based multi-agent AI systems for automating drug discovery
- Integrate diverse scientific tools and models for agents to use, and design and optimize agent workflows
Drug Discovery AI Models for Lead Optimization
- Develop models for molecular property prediction, molecular generation/optimization, protein-ligand interaction prediction, and related tasks
- Support SAR analysis, scaffold hopping, and multi-parameter optimization (MPO) balancing activity, properties, ADMET, and synthetic accessibility
DMTA Cycle Integration
- Integrate agents into the Design-Make-Test-Analyze (DMTA) cycle to propose the next synthesis candidates
Deployment, Performance, and Reliability
- Deploy the systems and models into usable form and continuously improve performance and reliability
Cross-functional Drug Discovery Application
- Collaborate with domain experts to apply research, models, and agent workflows to real drug discovery programs
Who We're Looking For
지원자격
Education & Experience
- Education: Master's degree or higher in a related field; or a Bachelor's degree in a related field with 3+ years of relevant development experience
- Major: Computer Science, Computer Engineering, Electrical Engineering, Industrial Engineering, Chemical Engineering, Biotechnology, Chemistry, Biology, Physics, or a related field
- Experience: 8–15 years of relevant industry experience in a related field
Required Development Experience (At least one)
- Hands-on experience developing drug discovery AI models (e.g., molecular property prediction, molecular generation/optimization, protein-ligand interaction prediction)
- Experience developing molecular optimization models or workflows at the hit-to-lead / lead optimization stage, including SAR-based design, MPO, or ADMET prediction
- Experience designing and building AI agent systems, including multi-agent systems and workflow orchestration
Skills & Knowledge
- Experience researching/developing deep learning and machine learning algorithms, with strong Python skills
- Research capability to read and implement recent papers, or to design and validate novel ML/DL methods
Language
- Working proficiency in Korean and English
Preferred Qualifications
우대사항
- Publications at major AI conferences or journals (NeurIPS, ICML, ICLR, AAAI, etc.)
- Understanding of life-science domains (bio, pharma, chemistry, omics) or experience handling related data
- LLM experience in fine-tuning/post-training (SFT, DPO, PPO/GRPO/RLHF), RAG, serving/evaluation, and agent frameworks (LangGraph, LangChain, AutoGen, CrewAI)
- Experience participating in hit-to-lead / lead optimization on real drug discovery projects, or collaborating with medicinal chemistry teams to feed model results into design
- Experience developing, fine-tuning, or adapting domain foundation models for chemistry or biomedicine (e.g., molecular representation / chemical language models)
- Proficiency with ML frameworks (PyTorch, JAX, etc.) and experience designing/implementing novel ML/DL architectures and methods
- Experience implementing and deploying research and models as services or systems end-to-end
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.
- 마감 직전에는 지원자가 몰릴 수 있으므로, 원활한 접수를 위해 마감 시각 최소 10분 전까지 지원서 제출을 권장드립니다.
AI Research Engineer 구성원 영입
지원 기간
September 23, 2026(Wed)~October 11, 2026(Sun)
마감 시간
23:59
회사
SK biopharmaceuticals
직무
기타
구분
Experienced
지역
Gyeonggi/Incheon - 판교
유형
Permanent