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 MS.
Collaborate with a multidisciplinary team and present research at scientific meetings 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 study
advanced analytic methods
machine learning and -omics approaches
statistical models of host and immune response
serology data analysis
R, SAS, or Stata proficiency
Nice-to-have
immunology and neurology knowledge
pharmacoepidemiology and oncology knowledge
artificial intelligence skills
molecular epidemiology experience
real-world healthcare data analysis
Key Requirements
PhD in epidemiology and/or biostatistics; infectious diseases or related field
Interest in infectious disease and vaccines
Experience identifying and implementing statistical models