Public Health Bioinformatician & Data Analyst

Goldbelt Professional Services LLC; United States; On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with matching

Paid time off

Job summary

Goldbelt Professional Services LLC is seeking a Bioinformatician to provide statistical support for the Office of the Director (OD). The role focuses on data collection, analysis, and reporting across public health surveillance, including CDC response activities and training exercises.

Responsibilities include building databases, conducting analyses with SAS/R/Python, and preparing reports for scientific audiences.

Qualifications

• Bachelor's degree with 1–2 years in public health or quantitative field.
• Proficiency with statistical software (SAS, R, Python, etc.).
• Experience with data management systems and data management software.

Responsibilities

• Utilize research methods and data collection tools to ensure data is gathered.
• Design and maintain databases for management using SAS, SUDAAN, Access, and Excel.
• Conduct descriptive statistics, factor analyses, and regression analyses.
• Extract data from NHSN and similar sources for analysis.
• Prepare preliminary interpretations of analyses for scientific audiences and teams.
• Prepare reports supporting manuscript development based on analytic results.
• Perform statistical analyses of complex surveillance on large datasets; apply merging techniques.
• Support CDC response activities and training exercises as directed by the DHQP Team Lead.

Skills

Analytical skills

Strong communication

MS Office

Data management

Education

Bachelor's degree

Master's degree preferred

Tools

SAS

R

Python

Excel

Access

Job description

Goldbelt Professional Services LLC is seeking a Bioinformatician to provide statistical support for the Office of the Director (OD). The role focuses on data collection, analysis, and reporting across public health surveillance, including CDC response activities and training exercises.

Responsibilities include building databases, conducting analyses with SAS/R/Python, and preparing reports for scientific audiences.