Deep Learning Scientist: Multi-Omics for Drug Discovery

DeepLife Group; Paris; Sur place; EUR 90 000 - 150 000; Plein temps

Résumé du poste

DeepLife Group in Paris is seeking a visionary researcher to develop novel cell embeddings by integrating multi-omics foundation models (transcriptomics, proteomics, epigenomics, metabolomics) to capture complex cellular signatures for drug discovery.

You will lead large-scale deep learning, enable digital twin applications, collaborate across disciplines, and translate AI advances into impactful results for clients and partners.

Qualifications

• PhD or postdoctoral experience in computer science or a closely related field.
• Proven expertise in machine learning and applied mathematics.
• Experience with large-scale deep learning on omics or high-dimensional data.
• Proficiency in probabilistic graphical models and causal inference.”
• Ability to lead interdisciplinary collaboration and communicate results clearly.

Responsabilités

• Design and implement large-scale deep learning models that integrate multi-omics datasets.
• Develop and refine foundation models across omics platforms.
• Build and advance digital twin technology for predicting drug effects.
• Collaborate with omics, bioinformatics, and drug discovery teams.
• Lead and publish research efforts within an international team.

Connaissances

Visionary researcher

Multi-omics data integration

Deep learning

Foundation models

Probabilistic graphical models

Causal inference

Cross-disciplinary collaboration

Formation

PhD or Postdoctoral experience in Computer Science

Outils

Python

PyTorch

TensorFlow

JAX

Description du poste

DeepLife Group in Paris is seeking a visionary researcher to develop novel cell embeddings by integrating multi-omics foundation models (transcriptomics, proteomics, epigenomics, metabolomics) to capture complex cellular signatures for drug discovery.

You will lead large-scale deep learning, enable digital twin applications, collaborate across disciplines, and translate AI advances into impactful results for clients and partners.