Data Scientist - Cheminformatics

Placements24; Richards Bay; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Highly competitive salary

Fully remote with flexible hours

Access to cloud resources

Career growth

Job summary

Placements24 is seeking a talented Data Scientist to join their remote cheminformatics team. You will leverage advanced machine learning techniques to drive drug discovery, analyze large chemical datasets, and build predictive models for toxicology and property prediction.

Collaborate with chemists and biologists, design data pipelines, and create visualizations to communicate findings to stakeholders. This role offers fully remote work with flexible hours and opportunities to work on

Qualifications

• Advanced degree in a quantitative field.
• Proven ML experience on complex datasets.
• Strong programming in Python or R with ML libraries.
• Experience with chemical structures/databases (SMILES, SDF).
• Experience with molecular descriptors and QSAR modeling.
• Excellent remote teamwork and communication.

Responsibilities

• Develop ML models for predictive toxicology, property prediction, and virtual screening.
• Analyze large-scale chemical/biological datasets to identify trends and patterns.
• Design and build data pipelines for ingestion, processing, and storage.
• Collaborate with chemists and biologists to translate goals into data science solutions.
• Create visualizations and reports to communicate findings to stakeholders.
• Stay current with advances in data science, ML, and cheminformatics.

Skills

Machine learning

Python/R

Cheminformatics

QSAR modeling

Data pipelines

Education

Master's or PhD in Data Science/CS/Cheminformatics

Quantitative methods

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a talented Data Scientist to join their innovative cheminformatics team, operating remotely. This pivotal role will involve leveraging advanced machine learning techniques and data analytics to drive drug discovery and optimize chemical processes. You will work with vast chemical datasets, developing predictive models and extracting actionable insights to guide research and development. This is an exciting opportunity to apply your data science expertise in a challenging and impactful domain, contributing to the development of next-generation chemical products from anywhere in the world.

Key Responsibilities

• Develop and implement machine learning models for predictive toxicology, property prediction, and virtual screening.
• Analyze large-scale chemical and biological datasets to identify trends and patterns.
• Design and build data pipelines for efficient data ingestion, processing, and storage.
• Collaborate with chemists and biologists to understand project goals and translate them into data science solutions.
• Create compelling visualizations and reports to communicate complex findings to stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and cheminformatics.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Cheminformatics, or a related quantitative field.
• Proven experience in applying machine learning techniques to complex datasets.
• Strong programming skills in Python or R, with experience in libraries like Scikit-learn, TensorFlow, or PyTorch.
• Expertise in working with chemical structures and databases (e.g., SMILES, SDF).
• Familiarity with molecular descriptors and QSAR modeling.
• Excellent problem-solving abilities and communication skills for remote teamwork.

Benefits

• Highly competitive annual salary and performance incentives.
• Fully remote work arrangement with flexible hours.
• Contribution to groundbreaking research in chemical innovation.
• Access to advanced computational resources and cloud infrastructure.
• Opportunities for professional growth and continuous learning in a dynamic field.