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Statistical jobs in chapel hill USA

7 statistical jobs found in chapel hill: showing 1 - 7

Qc Analyst
Company: TechLink Systems |

Location: Chapel Hill, NC, USA

| Salary: unspecified | Date posted: 04 Jul 2026
of analytical data Perform statistical analysis of results Manage the Quality Control requirements for the onboarding of new
Qc Analyst
Company: Eclaro |

Location: Chapel Hill, NC, USA

| Salary: unspecified | Date posted: 27 Jun 2026
new testing. Assist in review of analytical data. Perform statistical analysis of results. Manage the Quality Control
Uts-temporary Quality Control Analyst At Unc Chapel Hill
Company: North Carolina State University |

Location: Chapel Hill, NC, USA

| Salary: unspecified | Date posted: 26 Jun 2026
, performs statistical analysis of results, and provides guidance and training to QC employees on testing methods and processes
Uts-temporary Statistician Investigator At Unc Chapel Hill
Company: North Carolina State University |

Location: Chapel Hill, NC, USA

| Salary: US$46 per hour | Date posted: 24 Jun 2026
in a collaborative team of investigators and perform statistical analyses to gain new discoveries to help trauma survivors. The primary... in lieu of a PhD. Demonstrated experience conducting advanced statistical analyses, with the ability to independently learn
Sales Coordinator
Company: Schulte Hospitality Group |

Location: Chapel Hill, NC, USA

| Salary: unspecified | Date posted: 17 Jun 2026
correspondence, reports or contracts (to include BEOs, Sales Contracts, PACE Reports, Statistical Reports) based upon organizational
Post-doc Research Associate
Company: University of North Carolina |

Location: Chapel Hill, NC, USA

| Salary: US$62232 per year | Date posted: 02 Jun 2026
degree in behavioral science, epidemiology, nutrition, public health, or a related field. Coding and statistical analysis
Senior Data Analyst, Clinical Programs
Company: Brighton Health Plan Solutions, LLC |

Location: Chapel Hill, NC, USA

| Salary: unspecified | Date posted: 23 May 2026
hospitalizations, ER utilization) Develop statistical models that deliver meaningful insights on cost, utilization and clinical