Molecular Modelling Scientist at DSO National Laboratories
Singapore 118225, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

13 Nov, 25

Salary

0.0

Posted On

14 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Gromacs, Autodock, Applied Research, Data Analysis, Statistics

Industry

Information Technology/IT

Description

JOB DESCRIPTION

DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the critical mission to develop technological solutions to sharpen the cutting edge of Singapore’s national security. At DSO, you will develop more than just a career. This is where you will make a real impact and shape the future of defence across the spectrum of air, land, sea, space and cyberspace.
The Defence Medical & Environmental Research Institute (DMERI) builds up technological capabilities for the protection against chemical and biological warfare agents. It also conducts research and development into combat care, human effectiveness, bio- technology and bio-engineering to enhance the safety, survivability and performance of our national forces in hostile battlefield environment.
People are DSO’s greatest asset. You will get to realise your career aspirations and develop your own niche either as a deep technical expert or a leader in the team. With frequent career dialogues and a robust training and development framework, we will provide you with the necessary development tools for you to reach your potential. You will also be recognised and rewarded through competitive remuneration packages and scholarship opportunities.
Molecular Modelling Scientist

In this role, you will:

  • Work in a team to study, design and enhance ligand/antibody interactions
  • Develop models, methodologies and workflow for binding affinity prediction
  • Perform simulations of biomolecular systems, including enzyme-ligand and antibody-antigen interactions

JOB REQUIREMENTS

  • Degree / Master / PHD in Computational Biochemistry / Computational Chemistry / Pharmacology
  • Basic coding language such as Python
  • Experience in Molecular Docking and/or Molecular Dynamics tools (e.g. Schrodinger Maestro, GROMACS, AutoDock) and relevant databases (e.g. protein data bank, ChEMBL)
  • Proficient in data analysis and statistics
  • Motivated individual with keen interest in applied research
  • Possess good communication skill
  • Able to work individually and as a team

EXPERIENCE:

0 ~ 10 years

Responsibilities
  • Work in a team to study, design and enhance ligand/antibody interactions
  • Develop models, methodologies and workflow for binding affinity prediction
  • Perform simulations of biomolecular systems, including enzyme-ligand and antibody-antigen interaction
Loading...