Remote Research Scientist - Cheminformatics

Placements24; East London; Hybrid; ZAR 1,000,000 - 1,400,000; Full time

Benefits offered by this job

Competitive salary

Fully remote work

Professional development opportunities

Job summary

Placements24 seeks a highly motivated Remote Research Scientist in Cheminformatics to join a drug discovery team. This fully remote position focuses on computational analysis of chemical data, SAR, and lead optimization in a collaborative virtual environment.

The role requires a PhD or MSc in a chemistry-related field, 5+ years experience, and proficiency with RDKit/OpenEye and Python. Willingness to work across medicinal chemistry and biology teams is essential.

Qualifications

• Ph.D. or Master’s in Cheminformatics, Computational Chemistry, Medicinal Chemistry, or related field.
• Minimum 5 years of cheminformatics experience with drug discovery applications.
• Proficiency in cheminformatics toolkits (RDKit, OpenEye) and Python.
• Experience with molecular modeling, QSAR, and machine learning for chemical data.
• Strong understanding of organic chemistry and drug discovery processes.

Responsibilities

• Develop and apply cheminformatics methods to analyze large chemical libraries and SAR.
• Design and implement virtual screening campaigns to identify novel hit compounds.
• Build predictive models for physicochemical properties, ADMET, and biological activity.
• Collaborate with medicinal chemists and biologists to guide compound design.
• Curate and manage chemical databases with data integrity and accessibility.
• Stay current with advances in cheminformatics, computational chemistry, and ML.

Skills

Python

Machine learning

QSAR

Data analysis

Education

PhD or MSc in Cheminformatics

Tools

RDKit

OpenEye

Job description

About the Role

Our client is seeking a highly motivated Remote Research Scientist with expertise in Cheminformatics to join their innovative drug discovery team. This role is fully remote, allowing you to contribute from anywhere. You will be instrumental in applying computational approaches to analyze chemical data, support lead optimization, and identify promising drug candidates. Working in a highly collaborative virtual environment, you will leverage advanced cheminformatics tools and databases to drive research forward and accelerate the drug development pipeline. The ideal candidate will have a strong computational background, a deep understanding of chemistry, and a passion for applying data science to solve complex biological and medicinal chemistry problems.

Key Responsibilities

• Develop and apply cheminformatics methods to analyze large chemical libraries and structure-activity relationships (SAR).
• Design and implement virtual screening campaigns to identify novel hit compounds.
• Build predictive models for physicochemical properties, ADMET, and biological activity.
• Collaborate closely with medicinal chemists and biologists to guide compound design and selection.
• Curate and manage chemical databases, ensuring data integrity and accessibility.
• Stay current with the latest advancements in cheminformatics, computational chemistry, and machine learning relevant to drug discovery.

Requirements

• Ph.D. or Master's degree in Cheminformatics, Computational Chemistry, Medicinal Chemistry, or a related field.
• Minimum of 5 years of experience in cheminformatics , with a focus on drug discovery applications.
• Proficiency in cheminformatics toolkits (e.g., RDKit, OpenEye) and programming languages (Python).
• Experience with molecular modeling, QSAR, and machine learning techniques for chemical data.
• Strong understanding of organic chemistry principles and drug discovery processes.
• Excellent communication and collaboration skills, essential for a remote role.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work arrangement, offering maximum flexibility.
• Opportunity to work on cutting-edge drug discovery projects.
• Generous paid time off and professional development opportunities.
• A dynamic and collaborative virtual team culture focused on innovation.