Postdoctoral Scientist: Multimodal AI for Biomed Discovery

7555-Janssen Pharmaceutica NV Legal Entity

Geel

Sur place

EUR 60 000 - 96 000

Plein temps

Il y a 10 jours
Générateur de candidature

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Résumé du poste

Johnson & Johnson Innovative Medicine is seeking a Postdoctoral Scientist in Multimodal AI for Biomedical Discovery to advance AI/ML-enabled drug discovery. You will integrate imaging, transcriptomics, proteomics, structures, literature, and data to generate actionable insights guiding target discovery and translational biology.

Ideal candidates combine strong AI/ML expertise with biological knowledge and a commitment to scientific discovery in a collaborative, multidisciplinary environment.

Qualifications

  • Ph.D. required in a quantitative field related to computational biology, bioinformatics, CS, or engineering.
  • Strong expertise in machine learning, deep learning, foundation modeling, or related areas.
  • Experience developing and evaluating ML methods for scientific/biomedical applications.
  • Hands-on with Python and modern AI/ML frameworks (PyTorch, JAX, Hugging Face) and tools.
  • Knowledge of molecular/cellular biology and drug discovery context.
  • Experience analyzing biomedical modalities (transcriptomics, proteomics, imaging, etc.).
  • Ability to communicate complex analyses to technical and scientific stakeholders.

Responsabilités

  • Develop and evaluate multimodal AI/ML methods for diverse biomedical data.
  • Design experiments and computational approaches to generate biologically meaningful hypotheses.
  • Collaborate with biologists, chemists, computational biologists, statisticians, AI/ML scientists, and data scientists.
  • Create scalable AI solutions by integrating heterogeneous evidence sources.
  • Contribute to reusable AI platforms, tools, and data foundations for enterprise-scale apps.
  • Establish benchmarking, baselines, and evaluate model generalizability and biological relevance.
  • Lead end-to-end research activities from design to documentation and communication.
  • Publish findings internally and externally in AI, computational biology, and bioinformatics venues.

Connaissances

Machine learning
Deep learning
Foundation models
Multimodal AI
Scientific communication
Team collaboration

Formation

Ph.D. in Computational Biology, Bioinformatics, Computer Science, Biomedical Engineering, Applied Mathematics, Statistics, Electrical Engineering, or a related quantitative field

Outils

Python
PyTorch
JAX
Hugging Face
Docker
Kubernetes
Git

Description du poste

Johnson & Johnson Innovative Medicine is seeking a Postdoctoral Scientist in Multimodal AI for Biomedical Discovery to advance AI/ML-enabled drug discovery. You will integrate imaging, transcriptomics, proteomics, structures, literature, and data to generate actionable insights guiding target discovery and translational biology.

Ideal candidates combine strong AI/ML expertise with biological knowledge and a commitment to scientific discovery in a collaborative, multidisciplinary environment.

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