About the role
The company seeks a PhD‑level Computational Scientist to lead the development and deployment of innovative AI/ML methods for drug discovery, integrating diverse data types, collaborating with cross‑functional experts, publishing research, and mentoring junior staff.
ResearchOnsiteBioinformatics Institute
Key Responsibilities
- Develop and optimize computational frameworks that integrate diverse data types (chemical, biological, omics, clinical) into cohesive models.
- Collaborate with domain experts in computational biology, cheminformatics, pharmacology, and drug discovery to tailor computational models to real-world problems.
- Publish research findings in leading journals and conferences, and contribute to partnerships and strategic initiatives as opportunities arise.
- Mentor junior team members and contribute to a collaborative, cross-disciplinary research environment.
Requirements
- PhD in Artificial Intelligence/Computer Science , Bioinformatics , Computational Biology , Biomedical Engineering , Applied Mathematics , Pharmaceutical Sciences or a related field, with a focus on machine learning or computational modeling.
- Strong publication record or demonstrable contributions to open-source tools or reproducible research.
- Demonstrated expertise with AI/ML methodologies and implementations.
- Excellent problem-solvingskills, with an ability to balance theoretical rigor with practical implementation.
- PREFERRED QUALIFICATIONS
- Familiarity with challenges in drug discovery and development.
- Research interest in areas of AI/ML such as Multi-Agent Systems, Physics-Informed ML, Causal AI, Neuro-Symbolic AI, Uncertainty Quantification, Active Learning , Geometric Deep Learning.