You apply advanced machine learning and AI methods to multi-modal biomedical datasets to support drug target and biomarker discovery in oncology research.

Vos tâches

Design and implement machine learning algorithms and AI models for predictive insights
Apply AI techniques to drug target identification and biomarker discovery
Work with foundational, pre-trained and multi-modal models for generative AI applications
Collaborate with cross-functional teams on ML-ready data practices
Contribute to scientific publications and present at conferences

Ce que vous apportez

Ph.D. in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field
Experience in generative AI, biomedical foundation models, geometric deep learning or multi-modal learning
Strong programming skills and proficiency in deep learning frameworks such as PyTorch
Practical experience across the ML and LLM software stack, including deployment and validation
Experience with omics data and familiarity with oncology drug development
Publications in top-tier ML/AI conferences or leading scientific journals

Conditions

Taux d'activité: 100 %
Modèle de travail: Sur site
Option d'engagement fixe après la mission, si les deux parties le souhaitent

Ce qui vous attend

Onsite role based in Basel
Relocation support offered
3–6 months interim, then a permanent position

Technologies

PyTorch
Python

Comment postuler

Vous postulez avec votre profil Try&Hire : téléchargez votre CV, vérifiez les informations, indiquez les données clés et votre disponibilité. Une courte vidéo de présentation est facultative, mais elle aide. Notre équipe vous contacte si votre profil correspond à la mission.

AI Scientist – AI-Driven Target Identification