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Lead Research Scientist - Computational Chemistry

Job in Sandton, 2172, South Africa
Listing for: Placements24
Full Time position
Listed on 2026-09-21
Job specializations:
  • Research/Development
    Research Scientist, Biotechnology, Drug Discovery, Biomedical Science
Job Description & How to Apply Below

About the Role

Our client is seeking a visionary Lead Research Scientist in Computational Chemistry to join their R&D hub in Sandton . This role is critical for leveraging computational modeling and simulation to accelerate drug discovery and materials design. You will lead a team of computational scientists, develop novel computational strategies, and collaborate with experimental groups to solve complex scientific problems. This position offers a unique opportunity to influence research direction and make significant contributions in a hybrid work environment, benefiting from both on-site collaboration and remote flexibility.

Key Responsibilities
  • Lead the development and application of computational chemistry methods, including molecular modeling, DFT, and QM/MM simulations.
  • Design and execute computational studies to predict molecular properties, reaction pathways, and binding affinities.
  • Collaborate closely with experimental chemists and biologists to interpret results and guide research strategies.
  • Develop and implement novel algorithms and software tools for computational chemistry applications.
  • Manage research projects, mentor junior scientists, and present findings at scientific meetings.
  • Ensure efficient use of high-performance computing resources.
Requirements
  • Ph.D. in Computational Chemistry, Physical Chemistry, Theoretical Chemistry, or a related field.
  • Minimum of 8 years of experience in computational chemistry, with a proven track record of leading research projects.
  • Extensive experience with computational chemistry software packages (e.g., Gaussian, Schrödinger, Amber).
  • Strong programming skills (e.g., Python, C++) and experience with high-performance computing environments.
  • Excellent understanding of quantum mechanics, statistical mechanics, and molecular dynamics.
  • Strong communication and leadership skills for a hybrid team setting.
Benefits
  • Highly competitive salary and significant bonus potential.
  • Comprehensive health, dental, and vision insurance.
  • Opportunities for continuous learning and professional development.
  • Retirement savings plan with employer match.
  • Hybrid work model offering flexibility and work-life balance in Sandton .
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