Postdoctoral Fellow - Biostatistics and Blood Biomarkers


University of British Columbia


Vancouver, British Columbia, Canada

Principal Investigator

Cheryl Wellington


How to Apply

Submit application package as a single document to

  • Curriculum Vitae (including links to three most recent publications)
  • Academic transcripts
  • One-page cover letter


Specialization: Biostatistics, Neurology Primary

Location: Djavad Mowafaghian Centre for Brain Health, UBC Further information:

Fluid biomarkers can provide a detailed picture of neurological health and disease using relatively low-cost, accessible, objective, and scalable tools. There has been a rapid expanse of research into candidate blood-based biomarkers that show utility for the diagnosis and prognosis of neurological conditions. This position will focus on the statistical analysis for multiple projects involving large-scale databases from various cohorts, including but not limited to traumatic or hypoxic brain injury, spinal cord injury, Alzheimer’s disease and related dementias, multiple sclerosis, and healthy aging. The postdoctoral fellow will oversee his or her own individual project, to be developed in collaboration between the supervisor and a successful candidate, and provide guidance to lab members for other projects.

Key Responsibilities

  • Lead project design, including developing scope and writing statistical analysis sections for grant applications
  • Coordinate and communicate project goals with lab members and external collaborators
  • Conduct experiments analyzing biospecimens
  • Apply advanced statistical approaches to large-scale data, including combining proteomic/biomarker data with large clinical databases from cohorts of up to 5,000+ participants
  • Advise and supervise graduate and undergraduate students regarding statistical approaches
  • Prepare presentations and publications, including figure production, writing and editing


Minimum Qualifications

  • Recent completion of a Ph.D.
  • 5+ years of research experience in biostatistics, data science, bioinformatics, epidemiology, clinical laboratory medicine, or related fields
  • Strong proficiency in statistical analysis, with experience with GraphPad Prism, RStudio, and SPSS

Preferred Qualifications

  • Strong organizational and time-management skills
  • Strong oral and written communication skills
  • Experience supervising projects and team members
  • Background knowledge of immunoassay technology and troubleshooting
  • Experience working with biological specimens
  • Experience with artificial intelligence and machine learning analytical methods