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회사 (주)스탠다임 - 분자모델링, CADD 분야 채용(정규직)
2020.03.09 조회 수 : 758 마감일 : 2020.12.31


Computational Chemist (분자모델링, CADD 분야) 채용


Standigm applies cutting-edge AI technologies to drug discovery. AI, biology and pharmacology experts team up to build real-world AI models for NCE (new chemical entity) discovery. Standigm has a full-stack proprietary AI platform specialized in small molecules covering from target discovery and molecular design to lead optimization, expanding its capability into biologics discovery. Standigm has active internal and collaborative drug discovery pipelines in disease areas such as cancers, Parkinson’s disease (PD), autism, fatty liver diseases (NASH), mitochondria disease, infectious diseases and more.





(Senior) Scientist, Computational Chemistry, Cheminformatics


분자 모델링, 계산 화학, 화학정보학

(Computer Aided Drug Discovery, Computational Chemistry, Cheminformatics)


컴퓨터를 이용한 저분자 후보물질 탐색 및 설계


박사 또는 석사



1. 담당업무

  • 분자모델링을 이용한 힛트/리드 화합물 도출 및 최적화
  • 화합물데이터 마이닝 및 분석
  • 팀간의 협업연구 또는 공동연구 참여


2. 지원자격

  • 계산화학/분자모델링/화학정보학 또는 이와 관련된 분야의 박사학위 소지자 
  • 또는, 석사학위 + 5년 이상의 제약회사/바이오텍에서의 분자모델링 경험자


3. 근무지

  • 서울, 강남구


4. 제출서류

  • Curriculum Vitae


5. 연봉

  • 경력에 따라 협의


6. 채용담당자




Job description


Standigm's mission is to accelerate the drug discovery process while using innovative AI-driven technologies.


We are seeking a talented computational chemist with excellent interpersonal and problem solving skills to join our "lead discovery team". The successful candidate will be responsible for discovering and designing novel drug candidates by applying advanced molecular modeling and computational chemistry techniques. 


Your role

You will provide modeling expertise in small molecule drug discovery projects

You will carry out analyses, prioritization, and visualization of computational and experimental data in drug discovery programs.

You will actively participate in collaborative and/or internal drug discovery projects.



  • Ph.D. in Computational Chemistry, Cheminformatics, Medicinal Chemistry, Biophysics or related discipline with a computational emphasis with 0-3 years postdoctoral experience


  • M.S. and 5+ years of experiences in ligand-/structure- based lead discovery and design in the pharmaceutical and/or biotech industry.
  • In-depth knowledge of computer-aided drug discovery/design, computational chemistry, and cheminformatics
  • Strong communication skills in multidisciplinary environment.
  • Expertise in modern molecular modeling techniques (homology modeling, docking, pharmacophore modeling, QSAR, ligand-, structure- based design) with one or more software packages (e.g Schrodinger, Discovery Studio)
  • Experience with machine learning methods for predictive modeling
  • Demonstrated track records in hit compound identification by virtual screening


Preferred Requirements

  • Experience in molecular dynamics (MD) simulation to understand protein flexibility and in the application to docking accuracy improvement is a plus
  • Experience with public databases (e.g. ChEMBL, PDB, UniProt, DrugBank)
  • Experience with statistical or machine learning methods and scientific programming (e.g. KNIME, Pipeline Pilot, Python, R)
  • Experience with open source chemistry toolkits (e.g. RDKit, CDK)



To apply, please send a CV and contact information to “”