Data Analyst I (ERIB)
Goldbelt · United States · US
Public Health
Remote
Dentist
Demand70
Career growth70
Healthcare fit72
Remote potential50
Salary band
USD 80k – 90k
5-year outlook
Public-health data analyst roles should remain stable, especially for candidates with SAS/R/Python and government or epidemiology experience. Compensation will vary by contract, clearance status, and location, with stronger upside for those progressing toward data scientist, epidemiologist, or informatics roles.
Clinical license
Not required
Applicant reach
moderate
Seniority
entry
Employment type
full-time
Date found
2026-10-27
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Profession fit
- Dentist
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering for clinicians with statistical software skills and an interest in public health data, epidemiology, or CDC-supported research. Clinicians without SAS/R/Python or quantitative project experience may find the technical bar too high for an entry-level transition.
Who should apply
Physicians, nurses, pharmacists, IMGs, and healthcare graduates with public health, research, biostatistics, epidemiology, or data-analysis experience who want a non-clinical public-health data role. Best suited to those with SAS, R, Python, SQL, or similar programming exposure.
CV angle
Frame real clinical and research experience around data management, statistical analysis, epidemiology, quality control, electronic health data, publications, and stakeholder communication. Emphasize concrete quantitative projects, software used, data cleaning/reporting responsibilities, and any public health or government-facing work without overstating technical experience.
Skills to highlight
- SAS or R programming
- Python or SQL
- Data cleaning and management
- Statistical and epidemiological analysis
- Regression modeling
- Data visualization and reporting
- Data dictionaries and documentation
- Public health research and stakeholder communication
Role summary
A government-contractor data analyst role supporting CDC’s Epidemiology Research and Innovations Branch through data management, SAS/R/Python analysis, epidemiological reporting, data documentation, visualization, and coordination with scientific partners.
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