Senior Cheminformatician

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Salary incentives

Health benefits

Paid time off

Professional development

Remote work culture

Job summary

Placements24 is seeking a Senior Cheminformatician to join a fully remote, innovative R&D team focused on accelerating chemical research in early drug discovery and materials science.

You will design experiments, analyze chemical data, and build predictive models, collaborating with chemists, biologists, and data scientists in a flexible remote environment that supports impactful scientific advancements.

Qualifications

• PhD or MSc in Cheminformatics, Computational Chemistry, Organic Chemistry, or a related field.
• Minimum of 5 years of experience in cheminformatics with a focus on drug discovery or materials science.
• Proficiency in cheminformatics toolkits (RDKit/OpenEye) and programming with Python.
• Experience with chemical databases, QSAR modeling, and ML applied to chemical data.

Responsibilities

• Develop and implement computational methods for chemical structure representation, similarity searching, and virtual screening.
• Design and manage chemical databases with data quality and integration considerations.
• Build predictive models for chemical properties, activity, and ADMET using ML techniques.
• Collaborate with medicinal chemists to design novel compounds and guide synthesis.

Skills

Python

RDKit

OpenEye

QSAR modeling

Machine learning

Education

PhD or MSc in Cheminformatics/Computational Chemistry/Organic Chemistry

Tools

RDKit

OpenEye

Job description

About the Role

Our client seeks an experienced Senior Cheminformatician to join their fully remote, innovative scientific research and development team. This role is critical in leveraging computational approaches to guide and accelerate chemical research, particularly in the early stages of drug discovery and materials science. You will work closely with chemists, biologists, and data scientists to design experiments, analyze chemical data, and build predictive models. This is an excellent opportunity to apply your expertise in a challenging and rewarding remote environment, contributing to significant scientific advancements and fostering a culture of collaborative virtual innovation.

Key Responsibilities

• Develop and implement computational methods for chemical structure representation, similarity searching, and virtual screening.
• Design and manage chemical databases, ensuring data quality, accessibility, and integration with other biological and experimental data.
• Build predictive models for chemical properties, activity, and ADMET profiles using machine learning techniques.
• Collaborate with medicinal chemists to design novel compounds with desired properties and guide synthetic efforts.
• Visualize and communicate complex chemical data and modeling results to project teams effectively.

Requirements

• Ph.D. or Master's degree in Cheminformatics, Computational Chemistry, Organic Chemistry, or a related field.
• Minimum of 5 years of experience in cheminformatics, with a strong focus on computational drug discovery or materials science.
• Proficiency in cheminformatics toolkits (e.g., RDKit, OpenEye) and programming languages like Python.
• Experience with chemical databases, QSAR modeling, and machine learning applied to chemical data.
• Strong problem-solving skills and the ability to work independently and collaboratively in a remote setting.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health and wellness benefits package.
• Generous vacation and paid time off.
• Support for continuous professional development and conference attendance.
• A flexible and supportive remote work culture focused on impactful research.