Senior AI Scientist — Drug Discovery (Remote)

Placements24; Welkom; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Remote work stipend

Health insurance

Stock options

Bonuses

Flexible hours

Unlimited PTO

Learning opportunities

Global team

Computational resources

Job summary

Placements24 seeks a Senior AI Research Scientist to join a fully remote team pioneering AI-powered drug discovery. You will design and deploy cutting-edge ML models on large biological and chemical datasets to accelerate therapeutic discovery.

The ideal candidate holds a PhD in a quantitative field, 5+ years of AI/ML research experience, and expertise in TensorFlow/PyTorch, Python, and scalable data pipelines.

Qualifications

• PhD in Computer Science, AI, ML, Bioinformatics, or related field.
• Minimum of 5 years of AI/ML research experience with biological or chemical applications.
• Proven expertise in DL frameworks (TensorFlow, PyTorch) and ML algorithms.
• Proficiency in Python and data-science libraries (scikit-learn, Pandas, NumPy).

Responsibilities

• Design, develop, and deploy advanced AI/ML models for drug discovery tasks.
• Process and analyze large biological/chemical datasets for insights.
• Research novel AI methodologies for biological/chemical use cases.
• Collaborate with computational chemists, biologists, and data engineers to integrate AI into workflows.
• Maintain robust, reproducible, scalable codebases following best practices.

Skills

Deep learning frameworks

Python programming

Remote collaboration

Education

PhD in Computer Science / AI / Bioinformatics

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Job description

Placements24 seeks a Senior AI Research Scientist to join a fully remote team pioneering AI-powered drug discovery. You will design and deploy cutting-edge ML models on large biological and chemical datasets to accelerate therapeutic discovery.

The ideal candidate holds a PhD in a quantitative field, 5+ years of AI/ML research experience, and expertise in TensorFlow/PyTorch, Python, and scalable data pipelines.