In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate:
Experience extracting, manipulating, and analyzing public health surveillance data
Coding experience / fluency in technical programming language(s) like SAS, SQL, R, and/or Python
Experiencing working with transactional databases and cloud-based data warehouses
Familiarity with social determinants of health
Exemplary customer service skills
Ability to stay focused and organized
Experience collaborating with partners at all levels
Ability to use critical thinking skills
Excellent written and verbal communication skills
Experience leading projects to interpret, analyze, and report public health surveillance data