The Department of Environmental Health Sciences at Columbia University Mailman School of Public Health seeks a Staff Associate I (Programmer) to support research on infectious disease systems. The successful candidate will support multiple projects investigating infectious diseases, develop packages for disseminating infectious disease modeling and forecasting systems, generate and distribute real-time, operational infectious disease forecasts and projections, and support the transfer of technical expertise to public health officials, in particular, the use of infectious disease models, analytics and forecasts. The programmer will join a dynamic team of computational biologists, epidemiologists, and mathematicians researching a range of infectious diseases, including influenza, COVID-19, malaria, dengue and anti-microbial resistant organisms.
The successful candidate will:
Support development of research and operational products including code and software for posting and dissemination in the research community, packages for transfer to public health officials, supporting documents for using these materials, and the generation and dissemination of operational forecasts and research projections of infectious disease outcomes. (60%)
Support the development of new research projects in collaboration with the larger scientific team. (15%)
Perform related duties and responsibilities as assigned/requested, including in-person training activities. (15%)
Develop written reports of findings and activities (10%)
Bachelor’s degree in computer science or a related discipline.
Experience programming in four or more of the following languages—Matlab, R, Python, JAVA, SQL, OpenGL, C++–is required.
Strong technical and numerical skills, a love of research and inquiry, an ability to work both collaboratively and independently, and strong oral and written communication skills are also needed.
A Master’s degree in computer science or a related field or two-years work experience is a plus. Persons with a strong background and interest in public health, infectious disease and mathematical modeling are encouraged to apply.
To be considered for this opportunity, please use the link below to apply:
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