Postdoctoral Researcher Omics & Multimodal Data Integration, R&d Neuroscience Data Science & Digital Health
Johnson & Johnson UK
High Wycombe, United Kingdom
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Multi-omics data analysis
Multimodal data integration
Alzheimer's disease research
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Johnson & Johnson is seeking a Postdoctoral Researcher specializing in multimodal data integration for their Neuroscience Data Science & Digital Health team, focused on Alzheimer’s disease. The role involves developing and executing plans for analyzing various types of data to support drug discovery and requires a PhD in a relevant field along with experience in data analysis and integration.
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Job Summary
Integrates multi-omics, digital health, imaging, and clinical/real-world evidence data to accelerate transformational therapies for neurodegeneration, neuropsychiatry, and ophthalmology.
Develops and executes plans for analyzing and integrating multimodal data from Alzheimer's disease patient cohorts and human cell models to identify novel therapeutic targets and develop patient stratification approaches.
Partners closely with discovery and clinical scientists to ensure purposeful interrogation of multimodal human datasets and translation of data-derived hypotheses into validation plans.
Matching Summary
Match Score: 75
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Johnson & Johnson is seeking a Postdoctoral Researcher specializing in multimodal data integration for their Neuroscience Data Science & Digital Health team, focused on Alzheimer’s disease. The role involves developing and executing plans for analyzing various types of data to support drug discovery and requires a PhD in a relevant field along with experience in data analysis and integration.
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Skills & Requirements
Must-have
multi-omics data analysis
multimodal data integration
Alzheimer's disease research
R or Python proficiency
scientific publications
Nice-to-have
machine learning methodologies
AI methodologies
neurodegeneration research
computational biology background
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
Proven track record of scientific contributions with first author publications
Ability to clearly communicate technical work to diverse audiences