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Associate Research Scientist

Employer
Northeastern University
Location
Massachusetts, United States
Salary
Salary Not specified
Date posted
Jun 16, 2021

View more

Position Type
Administrative, Academic Affairs, Research Administration
Employment Level
Administrative
Employment Type
Full Time


Associate Research Scientist

About Northeastern:
Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

Northeastern's comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

About the Opportunity:
The Associate Research Scientist will be an active member of the Laboratory for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical models and computational tools to better characterize, understand, and anticipate large-scale complex networks and systems.

Responsibilities:
The Associate Research Scientist will develop basic and applied research on difficult problems and contribute to new theories and methodologies. The research will be largely focused on the development of predictive computational tools for the analysis of the spatial spread of emerging diseases. The successful candidate must be able to develop code to generate simulations and analyze large, complex datasets. They will be expected to independently develop and carry out new research and analysis, as well as supervise students and researchers in projects. They will write scholarly articles, contribute to grant proposals, attend lab meetings, present research, and mentor doctoral students.

Qualifications:
The position of Associate Research Scientist requires a Ph.D. or equivalent in a quantitative field. The candidate must have experience that demonstrates the ability to plan and execute research with a successful track record of publishing in high impact journals, obtaining federal grants, and experience in a supervisory role.

The candidate must have significant computational and applied statistical skills that can be applied to the modeling and forecasting the spread of infectious diseases. They must be able to handle, process and analyze very large datasets of epidemic indicators, such as data from surveillance of cases, cellular phone, mobility patterns.

Preferred Qualifications:
Previous experience working with COVID-19 data modeling.

Salary Grade:
11

Additional Information:
Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity


To apply, visit https://careers.pageuppeople.com/879/cw/en-us/job/505466

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