Senior Infectious Disease Modeling Scientist (Hybrid)

Placements24; EUA; Híbrido; USD 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Professional growth opportunities

Conference attendance

Resumo da oferta

Placements24 is seeking a Senior Research Scientist for a hybrid role focused on epidemic modeling and forecasting. You will develop, implement, and validate mathematical and computational models to predict disease spread, assess interventions, and inform policy in a global health context.

The ideal candidate has a PhD in a quantitative field with infectious disease focus, 5+ years of relevant research, and strong programming skills across R, Python, MATLAB, or C++.

Qualificações

• PhD in a quantitative field with infectious disease focus.
• Minimum 5 years of post-doctoral or research experience in infectious disease modeling.
• Proven ability to develop and apply mathematical models to infectious disease data.

Responsabilidades

• Develop and implement mathematical and computational models for infectious disease dynamics.
• Analyze epidemiological data to parameterize and validate models.
• Conduct scenario analyses to evaluate public health interventions.
• Generate forecasts and predictions of outbreaks and trends.
• Collaborate with epidemiologists, clinicians and public health officials to communicate findings.
• Publish research papers, grant proposals and technical reports.
• Present findings at conferences and to stakeholders.
• Mentor junior researchers and contribute to team capacity building.

Conhecimentos

R

Python

MATLAB

C++

Data visualization

Statistical analysis

Epidemiology modeling

Formação académica

PhD in Epidemiology/ Biostatistics/ Applied Mathematics/ Computer Science (infectious diseases focus)

Ferramentas

R

Python

MATLAB

C++

Descrição da oferta de emprego

Placements24 is seeking a Senior Research Scientist for a hybrid role focused on epidemic modeling and forecasting. You will develop, implement, and validate mathematical and computational models to predict disease spread, assess interventions, and inform policy in a global health context.

The ideal candidate has a PhD in a quantitative field with infectious disease focus, 5+ years of relevant research, and strong programming skills across R, Python, MATLAB, or C++.