Remote Senior Epidemiologist — Global Health Research

Placements24; Polokwane; Hybrid; ZAR 1,477,000 - 2,297,000; Full time

Benefits offered by this job

Remote work

Health benefits

Retirement plan

Professional development

Job summary

Placements24 seeks a Senior Epidemiologist for a fully remote role influencing global public health research. You will design and analyze epidemiological studies, develop statistical models, and guide data-driven interventions from a flexible location.

Strong publication history and leadership in research are preferred. The role emphasizes independence, collaboration with international partners, and ability to communicate complex findings to non-experts.

Qualifications

• Ph.D. or Master's in Epidemiology, Public Health, Biostatistics, or related field.
• Minimum of 5 years of epidemiological research experience.
• Proficiency in R, SAS, or Stata.
• Experience designing observational or intervention studies.
• Strong publication record.

Responsibilities

• Design and conduct epidemiological studies to investigate the causes, patterns, and control of diseases.
• Develop and apply statistical models to analyze epidemiological data.
• Collect, manage, and interpret large public health datasets.
• Write grant proposals to secure funding for new research projects.
• Author manuscripts for publication in leading public health journals.
• Present research findings at national and international conferences.
• Collaborate with public health officials, clinicians, and other researchers on disease surveillance and intervention strategies.
• Provide expertise and guidance on epidemiological methods and study design.

Skills

Epidemiology

Biostatistics

Research design

Data analysis

Scientific communication

Education

PhD or MSc in Epidemiology/Public Health/Biostatistics or related

Tools

R

SAS

Stata

Job description

Placements24 seeks a Senior Epidemiologist for a fully remote role influencing global public health research. You will design and analyze epidemiological studies, develop statistical models, and guide data-driven interventions from a flexible location.

Strong publication history and leadership in research are preferred. The role emphasizes independence, collaboration with international partners, and ability to communicate complex findings to non-experts.