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Global Obesity Prevention Center

Opportunities 

 

Employmentstairs

 

Sr. Research Program Coordinator

The GOPC is currently seeking a full-time Sr. Research Coordinator to oversee and coordinate all facets of research activities for over five research projects that focus on developing computational models and tools related to public health. This person will act as the primary scientific liaison between the principal investigator and the staff and students working on these projects. This person will assist staff and students with developing and running models that address questions regarding the prevention and control of obesity, analyzing and interpreting their outputs, and helping write reports and manuscripts for publications.

For further information and to apply, please see here.

Programmer Analyst

The Programmer Analyst will work with the GOPC's System Science Core (SSC) in order to build computational models and tools that address the prevention and control of obesity.  Primary duties include but not limited to the following: working with the team to develop computational models in line with GOPC research projects ,write code (C++, Java, Python) to match model specifications, document code, have code be reviewed and critiqued in an open and challenging way and review others code and provide valuable feedback to them, test/QA projects, training others to run the developed models and tools.

For further information and to apply, please see here.

Systems Modeler

The Modeler will be responsible for developing and running models that address questions regarding the prevention and control of obesity, analyzing and interpreting their outputs, and helping write reports and manuscripts for publications. This will include directly developing models in existing software packages such as TreeAge, Microsoft Excel, Berkeley Madonna, and NetLogo as well as working with and guiding the programmer to develop home grown models. The modeler should have the ability to understand processes and systems and translate these into the design of a model and its sets of relationships and inputs and outputs. Enthusiasm and interest in learning about obesity and public health is important. The position will involve a fair amount of interaction with different members of the Center as well as external collaborators.

For further information and to apply, please see here.


Student Opportunities

 

The GOPC offers continuous capstone, elective, and internship opportunities for students. 

The areas of opportunities range from:

For further information, please inquire here.


Webinar Series

 

Our GOPC, the Pittsburgh Supercomputing Center and McGill University are partnering up to host the BRIDGE webinar series. BRIDGE is designed to prepare for the next generation of big data analytics, woven into transdisciplinary and intersectoral  sciences, policy and innovation. To foster real time learning, the BRIDGE webinar series brings together a new solution-oriented transdisciplinary translational paradigm for the four Ms of big data sciences used on both sides of the health and economic divide (Machines, Methods, Models and Matter).

For further information, please see here.


External Postdoctoral Fellowship Opportunity

 

Harvard T.H. Chan School of Public Health is looking for a Postdoctoral Fellow to carry out epidemiological investigations of nutritional, biomedical and environmental risk factors in relation to obesity, type 2 diabetes and cardiovascular disease. Investigations are conducted in various longitudinal follow-up studies in the U.S. population, including the Nurses’ Health Studies and Health Professionals Follow-up Study. 

Requirements: PhD in Epidemiology, Biostatistics, Public Health or related discipline. Candidates must be highly motivated and have excellent English writing and communication skills, strong data analytic skills (SAS, STATA, or, R) and prior experience with publications and epidemiological study design. Experience with analyzing high-dimensional data (metabolomics or genetics) is preferred.

Interested candidates should send a CV, statement of research interests and experiences and two letters of recommendation to Qi Sun.