Senior Computational Chemist - Drug Discovery

Placements24; Mossel Bay; Hybride; ZAR 900 000 - 1 500 000; Plein temps

Avantages offerts par ce poste

Health insurance

Retirement planning

Annual bonus

Remote work

Flexible schedule

Professional development (online & v-c

Virtual conferences

Autonomy

Résumé du poste

Placements24 is seeking a Senior Computational Chemist for a fully remote role focused on accelerating drug discovery through advanced computational methods. You will design molecular modeling studies, lead optimization, and ADMET predictions while collaborating with cross-functional teams.

The ideal candidate holds a PhD in a related field with at least five years of experience in computational chemistry, proficient in Schrödinger, MOE, AMBER, GROMACS, Gaussian or ORCA, and skilled in Python

Qualifications

• PhD in Computational Chemistry or related field.
• Minimum 5 years in computational chemistry with drug discovery focus.
• Proficiency in molecular modeling and quantum chemistry packages.
• Experience with scripting (Python) and cheminformatics toolkits.
• Strong collaboration in remote teams.

Responsabilités

• Design and run molecular modeling studies (MD, docking, QM).
• Develop methods for virtual screening, lead optimization, and ADMET prediction.
• Collaborate with medicinal chemists to interpret results and guide synthesis.
• Build/manage chemical databases; develop cheminformatics tools/workflows.
• Stay updated on advances in computational chemistry and drug discovery.

Connaissances

Molecular modeling

Quantum mechanics

Cheminformatics

Python

Data interpretation

Formation

Ph.D. in Computational Chemistry/Cheminformatics/Theoretical Chemistry

Outils

Schrödinger Suite

MOE

AMBER

GROMACS

Gaussian/ORCA

RDKit

Description du poste

About the Role

Our client is a pioneering biotechnology firm at the cutting edge of pharmaceutical research, dedicated to accelerating drug discovery through advanced computational methods. We are looking for a Senior Computational Chemist to join our fully remote team. This role is instrumental in applying theoretical chemistry principles and sophisticated computational tools to design, analyze, and optimize novel drug candidates. You will collaborate closely with medicinal chemists, biologists, and other computational scientists to drive project success. This position requires a strong background in quantum mechanics, molecular modeling, and cheminformatics, coupled with proven experience in applying these skills to real-world drug discovery challenges. As a fully remote role, you will enjoy the flexibility of working from anywhere while contributing to impactful pharmaceutical innovation.

Key Responsibilities

Design and execute molecular modeling studies, including molecular dynamics, docking, and quantum mechanical calculations. Develop and apply computational methods for virtual screening, lead optimization, and ADMET prediction. Collaborate with medicinal chemists to interpret simulation results and guide synthetic efforts. Build and maintain databases of chemical structures and properties. Develop and implement cheminformatics tools and workflows. Analyze and interpret large datasets generated from computational and experimental studies. Stay abreast of the latest advancements in computational chemistry and drug discovery methodologies. Communicate research findings effectively through presentations and publications.

Requirements

Ph.D. in Computational Chemistry, Cheminformatics, Theoretical Chemistry, or a closely related field. Minimum of 5 years of experience in computational chemistry, with a strong focus on drug discovery applications. Proficiency in molecular modeling software (e.g., Schrödinger Suite, MOE, AMBER, GROMACS) and quantum chemistry packages (e.g., Gaussian, ORCA). Expertise in scripting languages (e.g., Python) and experience with cheminformatics toolkits (e.g., RDKit). Solid understanding of organic chemistry, medicinal chemistry, and pharmacology. Experience with large-scale computational studies and data analysis. Excellent problem-solving and analytical skills. Strong communication and collaboration skills, with the ability to work effectively in a remote team environment. Proven track record of contributions to drug discovery projects.

Benefits

This is a remote position offering exceptional work-life balance. Our client provides a highly competitive salary, a comprehensive benefits package including health insurance and retirement planning, and a generous annual bonus. We offer a flexible work schedule and significant opportunities for professional development, including access to online courses and virtual conferences. You will be part of an innovative and supportive team, contributing to the development of life-saving medicines from the comfort of your home office. We value autonomy and provide the tools and resources needed for success in a remote setting.