Epstein barr virus and multiple sclerosis research
Advanced analytic methods
Machine learning and -omics approaches
Contribute to the study of viral immune and autoimmune responses following Epstein Barr Virus (EBV) infection and their link to multiple sclerosis (MS)
Job Summary
Contribute to the study of viral immune and autoimmune responses following Epstein Barr Virus (EBV) infection and their link to multiple sclerosis (MS).
Utilize advanced analytic methods including machine learning and -omics approaches to identify patterns in host immune response associated with multiple sclerosis (MS).
Collaborate with a multidisciplinary team of scientists and present research at scientific conferences and publish in peer-reviewed journals.
Matching Summary
Contribute to the study of viral immune and autoimmune responses following Epstein Barr Virus (EBV) infection and their link to multiple sclerosis (MS).
Skills & Requirements
Must-have
Epstein Barr Virus and Multiple Sclerosis research
advanced analytic methods
machine learning and -omics approaches
statistical models of host and immune response
R, SAS, or Stata proficiency
scientific writing and presentation
Nice-to-have
immunology, neurology, oncology knowledge
real-world healthcare data analysis
molecular epidemiology studies
Key Requirements
PhD within 6 months of hire
Epidemiology and/or Biostatistics, Infectious Diseases or related field