Johnson & Johnson is seeking a Postdoctoral Researcher in Multimodal Data Integration to join their Neuroscience Data Science & Digital Health team, focusing on Alzheimer’s disease. The role involves analyzing and integrating various data types to support precision neuroscience and drug discovery
Job Summary
Integrates multi-omics, digital health, imaging, and clinical/real-world evidence data to accelerate transformational therapies for neurodegenerative diseases.
Develops and executes plans for multimodal data analysis and integration to identify novel therapeutic targets and enable innovative disease models.
Partners closely with discovery and clinical scientists to translate data-derived hypotheses into validation plans and remains current on Alzheimer's disease research.
Matching Summary
Match Score: 85
Johnson & Johnson is seeking a Postdoctoral Researcher in Multimodal Data Integration to join their Neuroscience Data Science & Digital Health team, focusing on Alzheimer’s disease. The role involves analyzing and integrating various data types to support precision neuroscience and drug discovery.
Skills & Requirements
Must-have
multimodal data integration
omics data analysis
Python or R programming
Alzheimer's disease research
patient stratification approaches
Nice-to-have
machine learning methodologies
AI methodologies
drug discovery acceleration
Key Requirements
PhD in neuroscience, computational biology, bioengineering, biostatistics, or related field (completed within 3 years)
Hands-on expertise in analyzing and integrating multimodal data
Proficiency in R, Python, or similar programming languages
First author publications in the field
Ability to communicate technical work to diverse audiences