Minimum qualifications

• PhD in bio-statistics, epidemiology, or related sciences
• Expertise in data extraction and analysis from population databases (such as SEER, SEER-Medicare, National Cancer Database, NSQIP, HCUP, OSHPD… etc)
• Expertise in R, Matlab, SAS and/or SPSS programming
• Expertise in meta-analysis, systematic reviews and other statistical analytic techniques necessary for clinical research
• Excellent interpersonal skills and ability to work collaboratively with others.
• Excellent oral and written communication skills

Preferred qualifications
• Familiarity with University of Minnesota School of Public Health
• Experience with clinical epidemiology studies using population databases
• Experience with manuscript preparation and submission
• Experience with statistical analysis of experimental data
• Experience with grant writing
• Record of presenting research results through publications and conference abstracts

The ideal candidate should have a background in biostatistics or epidemiology.  The candidate should be aware of the resources and expertise available at the University of Minnesota School of Public Health.  The candidate should have experience in clinical studies involving the various administrative and specialty focused databases, including study design, data extraction, data processing, data analysis, and data interpretation. Expertise with R and/or Matlab programming is a pre-requisite. The candidate is expected to partner with clinicians to study clinical questions that would impact the delivery of care in neurosurgery.  The candidate should have experience presenting research results through publications and presentations as well as grant submissions.