Senior Epidemiologist - Surveillance & Data Analytics

Goldbelt Professional Services LLC; United States; On-site; USD 120,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Paid time off

Professional development

Job summary

Goldbelt Professional Services LLC seeks an Epidemiologist IV to support Blood, Organs, and Other Tissues surveillance for the Medical Product Safety Branch. The role involves collaborating with CDC staff, developing guidance, and delivering training to ministries of health and facilities.

Minimum qualifications include a Master’s in epidemiology or related field and 3–5 years of epidemiologic experience; proficiency in SAS/R/Stata/Python is expected.

Qualifications

• Develop analytic approaches and evaluate validity of findings.
• Manage multiple complex projects with limited supervision.
• Communicate technical findings to nontechnical audiences and leadership.
• Translate findings into actionable conclusions.

Responsibilities

• Collaborate with CDC staff to monitor surveillance and infection prevention activities.
• Develop training materials and monitoring tools for partners.
• Improve data collection and analysis for antimicrobial resistance and viruses.
• Create data summaries, reports, and presentations for partners.
• Support CDC response activities and training exercises.

Skills

Analytic thinking

Independent work

Written and verbal comms

Cross-disciplinary collaboration

Public health surveillance

Education

Master's in epidemiology/public health/biostatistics

Doctoral degree preferred

Tools

SAS

R

Stata

Python

Job description

Goldbelt Professional Services LLC seeks an Epidemiologist IV to support Blood, Organs, and Other Tissues surveillance for the Medical Product Safety Branch. The role involves collaborating with CDC staff, developing guidance, and delivering training to ministries of health and facilities.

Minimum qualifications include a Master’s in epidemiology or related field and 3–5 years of epidemiologic experience; proficiency in SAS/R/Stata/Python is expected.