AI Scientist – Drug Discovery
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بالمتابعة، فإنك توافق على الشروط & سياسة الخصوصية.
At OMS Pharma, we believe the next generation of pharmaceutical innovation will be shaped by artificial intelligence, computational biology and advanced scientific research.
We are developing an ambitious vision to bring together AI, molecular sciences and advanced computing to explore new approaches to medicine discovery, drug development and biological simulation.
As we develop our research capabilities, we are seeking an AI Scientist – Drug Discovery & Computational Biology interested in contributing to innovative research at the intersection of technology and medicine.
What Will You Work On?1. AI-Powered Drug Discovery
Explore machine-learning and generative AI models for molecular discovery.
Develop computational approaches to identify and evaluate potential drug candidates.
Research predictive methods for drug properties, efficacy and safety.
Work with molecular docking, virtual screening and protein–ligand interactions.
Explore QSAR, ADMET and molecular property prediction.
3. Computational Biology & Virtual Human Simulation
Investigate computational representations of human biological systems.
Explore AI models for predicting molecular and biological responses.
Contribute to research on virtual biological simulations and personalized medicine.
4. AI Models & Scientific Computing
Develop machine-learning and deep-learning workflows for scientific research.
Explore applications of large language models and generative AI in pharmaceutical research.
Work with biological, chemical and pharmaceutical datasets.
Review emerging scientific technologies and published research.
Develop and evaluate computational prototypes.
Collaborate across AI, pharmaceutical sciences and computational biology.
Who Are We Looking For?We welcome researchers and professionals from diverse scientific backgrounds, including:
- Artificial Intelligence & Machine Learning
- Computational Biology & Bioinformatics
- Computational Chemistry & Medicinal Chemistry
- Pharmaceutical Sciences & Biotechnology
- Scientific Computing & Data Science
- Experience with one or more of the following would be advantageous:
- Python, PyTorch, TensorFlow
- RDKit, DeepChem
- Molecular docking and molecular dynamics
- Generative AI and graph neural networks
- QSAR and ADMET modeling
- Biological datasets and scientific machine learning
- Candidates with strong scientific research portfolios, published work or demonstrated independent projects are encouraged to apply.
OMS Pharma aims to connect advanced artificial intelligence with pharmaceutical sciences and computational research.
This is an opportunity to contribute to the early development of research initiatives exploring how AI can accelerate scientific discovery and support future medicine development.
We value curiosity, scientific rigor, creativity and the ability to transform ambitious research ideas into testable computational models.
OMS Pharma
Exploring the Future of Medicine Through Artificial Intelligence.
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