Associate Scientist, Post Doctoral Fellow- Epstein-barr Virus & Multiple Sclerosis - Hybrid

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Advanced analytic methods
Machine learning
R, sas, or stata
** The position is for a Postdoctoral Research Fellow focusing on the relationship between Epstein Barr Virus (EBV) and Multiple Sclerosis (MS) within a hybrid work environment. The role involves advanced statistical modeling, collaboration with multidisciplinary teams, and contributions to research aimed at understanding viral immune responses and their implications for 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

Match Score: 75

** The position is for a Postdoctoral Research Fellow focusing on the relationship between Epstein Barr Virus (EBV) and Multiple Sclerosis (MS) within a hybrid work environment. The role involves advanced statistical modeling, collaboration with multidisciplinary teams, and contributions to research aimed at understanding viral immune responses and their implications for MS. **

Skills & Requirements

Must-have

  • advanced analytic methods
  • machine learning
  • R, SAS, or Stata
  • host immune response
  • viral immune responses

Nice-to-have

  • immunology
  • pharmacoepidemiology
  • neurology
  • oncology
  • real-world healthcare data

Key Requirements

  • PhD within 6 months of hire
  • Epidemiology and/or Biostatistics
  • Infectious diseases or related field
  • Statistical models experience
  • Proficiency in written and verbal communication

Work Rights

Not specified

Tailored Resume

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