Postdoctoral Scientist, Multimodal AI for Drug Discovery

jj; Beerse; Sur place; EUR 60 000 - 96 000; Plein temps

Avantages offerts par ce poste

Annual bonus program

Well-being programs

Parental leave

Résumé du poste

Johnson & Johnson in Beerse, Belgium, is seeking a Postdoctoral Scientist in Multimodal Representation Learning for Predictive Biology to advance AI/ML analytics within DDSAI. This two-year fixed-term role will contribute to drug discovery using multimodal cellular data and imaging analytics, collaborating with scientists and engineers across locations including Beerse.

The position emphasizes foundation models, representation learning, and cross-functional communication, with no fully remote

Qualifications

• Ph.D. completed within the last 3 years or to be completed within the next 6 months.
• Strong AI/ML for biological applications with publications in top AI/ML venues.
• Experience with foundation models or multimodal biological data.

Responsabilités

• Conceive, design, develop, implement and validate AI/ML solutions for drug discovery using multimodal data.
• Analyze high-dimensional data to extract biological insights.
• Develop and evaluate computer vision solutions to quantify cellular heterogeneity.

Connaissances

AI/ML expertise

Multimodal learning

Computational biology

Image analysis

Programming Python

Deep learning frameworks

Formation

Ph.D. in Electrical Engineering, Biomedical Engineering, Computer Science or related

Outils

PyTorch

TensorFlow

Python

Description du poste

Johnson & Johnson in Beerse, Belgium, is seeking a Postdoctoral Scientist in Multimodal Representation Learning for Predictive Biology to advance AI/ML analytics within DDSAI. This two-year fixed-term role will contribute to drug discovery using multimodal cellular data and imaging analytics, collaborating with scientists and engineers across locations including Beerse.

The position emphasizes foundation models, representation learning, and cross-functional communication, with no fully remote