Remote Computational Chemistry Research Scientist

Placements24; Waukee (IA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, vision insurance

Generous PTO

Access to HPC resources

Remote work culture

Job summary

Placements24 is seeking a Research Scientist in Computational Chemistry to join its fully remote R&D division. You will leverage advanced computational tools and theoretical modeling to design and predict properties of new molecules and materials, accelerating discovery from any location.

The ideal candidate holds a Ph.D. with strong modeling, DFT and MD experience, and proficiency in Gaussian, Schrödinger, and Amber, plus Python/Bash programming to translate insights for experimental teams.

Qualifications

• Ph.D. in Computational Chemistry, Theoretical Chemistry or Physical Chemistry.
• Experience with molecular modeling and quantum chemistry calculations (DFT).
• Proficiency with computational chemistry software: Gaussian, Schrödinger Suite, Amber.
• Strong programming skills (Python, Bash) and data analysis/visualization.

Responsibilities

• Perform molecular modeling, simulations, and quantum mechanical calculations to investigate reactions and material properties.
• Design novel molecular structures 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 advancements in computational chemistry and cheminformatics.

Skills

Molecular modeling

Quantum chemistry calculations

Python

Bash

Education

Ph.D. in Computational Chemistry

Tools

Gaussian

Schrödinger Suite

Amber

Job description

Placements24 is seeking a Research Scientist in Computational Chemistry to join its fully remote R&D division. You will leverage advanced computational tools and theoretical modeling to design and predict properties of new molecules and materials, accelerating discovery from any location.

The ideal candidate holds a Ph.D. with strong modeling, DFT and MD experience, and proficiency in Gaussian, Schrödinger, and Amber, plus Python/Bash programming to translate insights for experimental teams.