Postdoc: Multimodal AI for Drug Discovery & Biology

EPFL; Lausanne; On-site; CHF 70,000 - 90,000; Full time

Job summary

EPFL's AIMM Lab invites applications for a postdoctoral researcher to lead multimodal model development in close collaboration with Novartis. The role emphasizes large-scale AI training, integration of diverse biological data modalities, and translational impact in early drug discovery.

The ideal candidate has a PhD in ML/CS/Computational biology, a strong publication record, and excellent communication skills for interdisciplinary work within EPFL and industry partners.

Qualifications

• PhD in machine learning, computer science, computational biology, or closely related field (completed or near completion).
• Experience in large-scale AI development, including pretraining, fine-tuning, or scaling on substantial compute.
• Solid biological background with familiarity with multiple biological data modalities.
• Strong publication record at top-tier ML conferences and/or life science journals.
• Excellent communication skills and enthusiasm for interdisciplinary research.

Responsibilities

• Develop multimodal model architectures and pretraining objectives.
• Align and fuse information across modalities to capture biological systems at multiple scales.
• Integrate multimodal foundation models into reasoning and decision-support interfaces.
• Collaborate with Novartis teams and publish results.

Skills

Excellent communication

Interdisciplinary collaboration

Education

PhD in ML/CS/Computational biology

Job description

EPFL's AIMM Lab invites applications for a postdoctoral researcher to lead multimodal model development in close collaboration with Novartis. The role emphasizes large-scale AI training, integration of diverse biological data modalities, and translational impact in early drug discovery.

The ideal candidate has a PhD in ML/CS/Computational biology, a strong publication record, and excellent communication skills for interdisciplinary work within EPFL and industry partners.