Remote Computational Chemistry Scientist

Placements24; Stellenbosch Local Municipality; Hybrid; ZAR 1.997.000 - 2.995.000; Vollzeit

Benefits dieser Stelle

Remote-friendly culture

Competitive salary

Professional development budget

Access to HPC resources

Health benefits

Zusammenfassung

Placements24 is seeking an innovative Research Scientist in Computational Chemistry for its fully remote R&D division. You will design and predict properties of new molecules and materials using advanced computational tools to accelerate discovery.

The ideal candidate holds a PhD, demonstrates expert modeling and software proficiency, and can translate insights into actionable guidance for experimental teams in a global collaboration environment.

Qualifikationen

• PhD in Computational/ Theoretical/ Physical Chemistry or related field required.
• Experience with molecular modeling, quantum chemistry (DFT) and MD simulations essential.
• Proficiency with computational chemistry software and scripting (Python/Bash) preferred.

Aufgaben

• Perform molecular modeling, simulations, and quantum mechanical calculations to investigate chemical reactions and material properties.
• Design novel molecular structures with desired characteristics using computational methods.
• Develop and refine computational models and algorithms for predictive chemistry.
• Collaborate with experimental chemists to interpret results and guide synthesis efforts.
• Analyze and present complex computational data to diverse scientific audiences.
• Stay current with latest advancements in computational chemistry and cheminformatics.

Kenntnisse

Molecular modeling

Quantum chemistry

Molecular dynamics

Python

Data analysis

Remote collaboration

Ausbildung

PhD in Computational Chemistry

Tools

Gaussian

Schrodinger Suite

Amber

Jobbeschreibung

Placements24 is seeking an innovative Research Scientist in Computational Chemistry for its fully remote R&D division. You will design and predict properties of new molecules and materials using advanced computational tools to accelerate discovery.

The ideal candidate holds a PhD, demonstrates expert modeling and software proficiency, and can translate insights into actionable guidance for experimental teams in a global collaboration environment.