Senior Cheminformatician - Data Science

Placements24; Pretoria; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Health, dental & vision insurance

Growth & learning opportunities

Access to cutting-edge tools

Job summary

Placements24 invites a Senior Cheminformatician to join our R&D team in Pretoria on a hybrid schedule. You will develop computational tools and predictive models to analyze chemical and biological data, guiding material discovery and experimental planning.

The ideal candidate has a PhD in Cheminformatics or related fields, 5+ years of experience, and expertise in Python, R, or Java with RDKit/SciPy. You will work with chemists and biologists to translate data insights into experiments.

Qualifications

• Ph.D. in Cheminformatics, Computational Chemistry, Data Science, or a related field.
• Minimum of 5 years of experience in cheminformatics or computational chemistry.
• Strong proficiency in programming languages such as Python, R, or Java, and experience with scientific libraries (e.g., RDKit, SciPy).
• Experience with machine learning algorithms and their application to chemical data.
• Knowledge of chemical databases, SAR, and property prediction.
• Excellent communication and teamwork skills.

Responsibilities

• Develop and deploy cheminformatics models for compound property prediction, virtual screening, and lead optimization.
• Design and implement databases and workflows for large-scale chemical and biological data.
• Collaborate with chemists and biologists to integrate computational insights into experimental design.
• Analyze complex datasets using machine learning and statistical techniques.
• Develop and maintain cheminformatics software tools and libraries.
• Contribute to scientific literature and present findings at conferences.

Skills

Machine learning

Data analysis

Communication

Teamwork

Education

Ph.D. in Cheminformatics, Computational Chemistry, Data Science, or related field

Tools

Python

R

Java

RDKit

SciPy

Job description

About the Role

Our client is seeking a highly skilled Senior Cheminformatician to join their innovative R&D team in Pretoria , operating on a hybrid work model. This role is pivotal in leveraging advanced data science techniques to analyze chemical and biological data, accelerating the discovery of new materials and compounds. You will be instrumental in developing and applying computational tools and predictive models to guide experimental efforts. This is an exceptional opportunity for a data-driven scientist to contribute to high-impact research within a forward-thinking organization based in Pretoria .

Key Responsibilities

• Develop and deploy cheminformatics models for compound property prediction, virtual screening, and lead optimization.
• Design and implement databases and workflows for managing large-scale chemical and biological data.
• Collaborate with chemists and biologists to integrate computational insights into experimental design.
• Analyze complex datasets using machine learning and statistical techniques.
• Develop and maintain cheminformatics software tools and libraries.
• Contribute to the scientific literature and present findings at relevant conferences.

Requirements

• Ph.D. in Cheminformatics, Computational Chemistry, Data Science, or a related field.
• Minimum of 5 years of experience in cheminformatics or computational chemistry.
• Strong proficiency in programming languages such as Python, R, or Java, and experience with scientific libraries (e.g., RDKit, SciPy).
• Experience with machine learning algorithms and their application to chemical data.
• Knowledge of chemical databases, structure-activity relationships (SAR), and property prediction.
• Excellent communication and teamwork skills, with the ability to explain complex computational concepts to non-experts.

Benefits

• Competitive salary and attractive bonus structure.
• Comprehensive health, dental, and vision insurance plans.
• Opportunities for professional growth and continuous learning.
• Hybrid work arrangement offering flexibility and collaboration in Pretoria .
• Access to cutting-edge computational infrastructure and research tools.