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

Ihre Aufgaben

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

Was Sie mitbringen

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

Rahmenbedingungen

Pensum: 100 %
Arbeitsmodell: Vor Ort
Option auf Festanstellung nach dem Einsatz, wenn beide Seiten wollen

Was Sie erwartet

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

Technologien

PyTorch
Python

So bewerben Sie sich

Sie bewerben sich mit Ihrem Try&Hire-Profil: Lebenslauf hochladen, Angaben prüfen, Eckdaten und Verfügbarkeit eintragen. Ein kurzes Vorstellungsvideo ist freiwillig, hilft aber. Unser Team meldet sich, wenn Ihr Profil zum Einsatz passt.

AI Scientist – AI-Driven Target Identification