Postdoctoral Scientist – Multimodal Representation Learning for Predictive Biology

Scorpion Therapeutics; Cambridge (MA); On-site; USD 70,000 - 90,000; Full time

Job summary

Johnson & Johnson's Innovative Medicine division in Cambridge, MA invites a Postdoctoral Scientist in Data Analytics & Computational Sciences to advance multimodal representation learning for predictive biology and drug discovery.

You will build AI/ML models from imaging, transcriptomics and proteomics data, analyze cellular heterogeneity, publish research findings, and collaborate across teams to translate models into actionable insights.

Qualifications

• Ph.D. in Electrical Engineering, Biomedical Engineering, Computer Science, or related
• within 6 months of completion
• expertise in AI/ML for biological applications, deep learning architectures (Transformers, CNNs), and experience with multimodal biological data
• proficiency in Python, PyTorch or TensorFlow

Responsibilities

• develop AI/ML models for drug discovery using heterogeneous biological data (imaging microscopy, transcriptomics, proteomics)
• analyze cellular heterogeneity
• collaborate across teams to translate models into actionable insights
• publish research findings

Job description

Role

Postdoctoral Scientist in Data Analytics & Computational Sciences within Johnson & Johnson's Innovative Medicine division, focusing on multimodal representation learning for predictive biology.

Responsibilities

• develop AI/ML models for drug discovery using heterogeneous biological data (imaging microscopy, transcriptomics, proteomics)
• analyze cellular heterogeneity
• collaborate across teams to translate models into actionable insights
• publish research findings

Requirements

• Ph.D. in Electrical Engineering, Biomedical Engineering, Computer Science, or related
• recent completion or within 6 months
• expertise in AI/ML for biological applications, deep learning architectures (Transformers, CNNs), and experience with multimodal biological data
• proficiency in Python, PyTorch or TensorFlow

Preferred

• strong publication record
• experience in foundation models
• multi-omics
• advanced imaging techniques

High Value

• focus on AI/ML for biological data
• multimodal modeling
• drug discovery
• cellular heterogeneity analysis

Work Setup

• Cambridge, MA (preferred)
• Spring House, PA
• Beerse, Belgium
• Madrid, Spain

no remote option