Lead Computational Chemist - Hybrid Work & Drug Discovery

Placements24; Sandton; Hybrid; ZAR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Highly competitive salary

Health, dental, and vision insurance

Hybrid work model

Continuous professional development

Employer retirement match

Job summary

Placements24 is seeking a visionary Lead Research Scientist in Computational Chemistry to join our R&D hub in Sandton. You will oversee a team of computational scientists, develop new strategies, and collaborate with experimental groups to accelerate drug discovery and materials design in a hybrid work environment.

The role emphasizes leadership, advanced modeling, and software tool development, with opportunities to influence research direction and contribute significantly in Sandton.

Qualifications

• PhD in Computational Chemistry or related field and proven research leadership.
• Minimum 8 years of experience in computational chemistry with project leadership.
• Extensive experience with Gaussian, Schrödinger, and Amber software.

Responsibilities

• Lead development and application of computational chemistry methods and simulations.
• Design studies to predict properties, reaction pathways, and binding affinities.
• Collaborate with experimental teams to guide research strategies.
• Develop novel algorithms and software tools for computational chemistry.
• Manage projects, mentor scientists, and present findings at meetings.
• Ensure efficient use of high-performance computing resources.

Skills

Team leadership

Python

C++

Communication

Molecular modeling

High-performance computing

Education

PhD in Computational Chemistry or related field

Tools

Gaussian

Schrödinger

Amber

Python

C++

Job description

Placements24 is seeking a visionary Lead Research Scientist in Computational Chemistry to join our R&D hub in Sandton. You will oversee a team of computational scientists, develop new strategies, and collaborate with experimental groups to accelerate drug discovery and materials design in a hybrid work environment.

The role emphasizes leadership, advanced modeling, and software tool development, with opportunities to influence research direction and contribute significantly in Sandton.