Remote Computational Biologist: Drug Discovery & Impact

Placements24; South Africa; Remote; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Full remote work setup

Competitive salary

Job summary

Placements24 seeks a talented Computational Biologist to join a fully remote drug discovery team. You will analyze large biological datasets, build predictive models, and apply advanced computational methods to identify novel drug targets across multiple therapeutic areas.

You will collaborate with medicinal chemists, pharmacologists, and biologists, write clean code in Python or R, and contribute to rigorous scientific validation from a remote location using state-of-the-art computational

Qualifications

• Ph.D. or equivalent in Computational Biology, Bioinformatics, Statistics, or related field.
• 3+ years post-doctoral or industry experience in computational drug discovery or related biology.
• Strong Python or R skills with libraries like scikit-learn, TensorFlow, PyTorch, Bioconductor.

Responsibilities

• Analyze high-throughput screening data, omics, and clinical datasets to identify drug candidates.
• Build predictive models for target identification and drug efficacy using ML/AI.
• Collaborate with chemists, pharmacologists, and biologists to design experiments.
• Visualize complex biological data and present findings to diverse stakeholders.
• Design and execute computational strategies for drug discovery programs.
• Maintain and improve computational tools and pipelines for robustness and scalability.

Skills

Python

R

Machine learning

Data analysis

Problem solving

Remote work

Education

PhD in Computational Biology / Bioinformatics

Tools

scikit-learn

TensorFlow

PyTorch

Bioconductor

Cheminformatics tools

Job description

Placements24 seeks a talented Computational Biologist to join a fully remote drug discovery team. You will analyze large biological datasets, build predictive models, and apply advanced computational methods to identify novel drug targets across multiple therapeutic areas.

You will collaborate with medicinal chemists, pharmacologists, and biologists, write clean code in Python or R, and contribute to rigorous scientific validation from a remote location using state-of-the-art computational