Statistician 1 - Social/clin Research Spec

North Carolina Department of Health and Human Services (DHHS)

North Carolina, US
$63,927.00 - $111,871.00; not specified; excellent...
Not specified
Sas programming language proficiency
Health research methods
Statistical analyses
The North Carolina Department of Health and Human Services is seeking a Statistician I to support the Division of Public Health by conducting statistical analyses related to vital statistics. The ideal candidate should possess a strong background in statistics, proficiency in SAS programming, and experience in health research methods

Job Summary

  • The primary purpose of this Vital Statistics Statistician position is to support the statistical needs of the Division of Public Health.
  • This position requires an individual with proficiency and in health research methods, computer programming and statistical analyses using the SAS programming language, and professional/technical writing.
  • The State of North Carolina offers excellent comprehensive benefits, including health insurance, retirement plans, and paid leave.

Matching Summary

Match Score: 75

The North Carolina Department of Health and Human Services is seeking a Statistician I to support the Division of Public Health by conducting statistical analyses related to vital statistics. The ideal candidate should possess a strong background in statistics, proficiency in SAS programming, and experience in health research methods.

Salary

$63,927.00 - $111,871.00; Not specified; Excellent comprehensive benefits

Skills & Requirements

Must-have

  • SAS programming language proficiency
  • Health research methods
  • Statistical analyses
  • Professional/technical writing
  • Ad hoc computer program creation

Nice-to-have

  • Experience with vital statistics files
  • Verifying colleagues' work
  • Checking validity of SAS programs

Key Requirements

  • Master's degree in statistics, mathematics, data science, data analytics, psychometrics or measurement and evaluation and one year of experience in data analysis
  • Bachelor's degree in statistics, mathematics, data science, data analytics, psychometrics or measurement and evaluation and three years of experience in study design and data analysis
  • Equivalent combination of education and experience

Work Rights

Not specified

Tailored Resume

Cover Letter