Post Doc Omics & Multimodal Data Integration

Johnson & Johnson

Cambridge, Massachusetts, United States of America
Hybrid (3 days on-site, 2 days remote)
Multimodal data integration
Alzheimer's disease research
Python or r programming
Johnson & Johnson is seeking a Postdoctoral Researcher specializing in multimodal data integration for their Neuroscience Data Science & Digital Health team, focusing on Alzheimer’s disease. The role involves analyzing and integrating various forms of data to enhance drug discovery, requiring a PhD and expertise in relevant computational techniques

Job Summary

  • Our Neuroscience Data Science & Digital Health team integrates multi-omics, digital health, imaging and clinical/real-world evidence (RWE) data to accelerate the delivery of transformational therapies for Neurodegeneration, Neuropsychiatry and Ophthalmology.
  • Develop and execute plans for the analysis & integration of multi-modal data, such as clinical, molecular, digital health and imaging data from Alzheimer’s disease patient cohorts and human cell models, to develop patient stratification approaches for precision neuroscience, identify novel therapeutic targets, and enable the generation of innovative disease models in support of drug discovery.
  • This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Beerse (Antwerp, Belgium), High Wycombe (United Kingdom), Zug (Switzerland) or Cambridge/Spring House (US).

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Postdoctoral Researcher specializing in multimodal data integration for their Neuroscience Data Science & Digital Health team, focusing on Alzheimer’s disease. The role involves analyzing and integrating various forms of data to enhance drug discovery, requiring a PhD and expertise in relevant computational techniques.

Skills & Requirements

Must-have

  • multimodal data integration
  • Alzheimer's disease research
  • Python or R programming
  • patient stratification approaches
  • novel therapeutic targets identification

Nice-to-have

  • academic collaborations
  • AI/ML methodologies
  • biological insights generation

Key Requirements

  • PhD in neuroscience, computational biology, bioengineering, biostatistics, or related field completed within 3 years
  • Extensive 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 a diverse audience

Work Rights

Not specified

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