Non-Tenure Line Instructor (Research Track) Simulation Modeling Research, CPC

1 day left

Washington D.C.
24 Feb 2023
End of advertisement period
26 Mar 2023
Contract Type
Full Time

Non-Tenure Line Instructor (Research Track) Simulation Modeling Research, CPC
Georgetown University: Medical Center: School of Medicine: Oncology

Location: Medical Center
Open Date: Feb 09, 2023
Deadline: May 01, 2023 at 11:59 PM Eastern Time

Job Description

Georgetown University's Lombardi Comprehensive Cancer Center - Cancer Prevention and Control Program is seeking a Research Track, Non-Tenure Line Instructor specializing in simulation modeling to collaborate on several large NIH grants focused on modeling policy options for cancer screening, diagnosis and treatment in the US population over time. The candidate will become a member of the Cancer Intervention and Surveillance Modeling Network (CISNET). CISNET is a consortium of NCI-sponsored investigators that includes modeling to improve understanding of the impact of cancer control interventions (prevention, screening, and treatment) on population trends in incidence and mortality. These models are used to project future trends, aid in the development of optimal cancer control strategies, and guide public health research and priorities.

The CISNET Breast Working Group (BWG) consists of six modeling groups and a coordinating center; Georgetown is the home to one of the six modeling groups (Model GE). Model GE is funded to use computer modeling to inform translation of precision oncology evidence to clinical guidelines and policy by evaluating strategies to further decrease mortality, understand survivor quality of life, and reduce disparities. The simulation model provides a virtual laboratory to inform policy and clinical decisions by evaluating the impacts on mortality, quality of life, harms, and costs of disseminating these evolving precision cancer control paradigms.

The individual will collaborate on all aspects of Model GE research and publications. They will develop independent new research questions, continually broadening and updating knowledge on statistical theory and empirical practice, and develop small grant proposals.

Requirements and Qualifications

Academic Level: PhD with relevant experience in field.

Practical Experience: Programming models of biological systems. Specialized modeling expertise. Understanding of cancer trends and outcomes to create new model input parameters using large observational data sources on cancer recurrence and progression, emerging breast cancer screening technologies, treatment, and information on genomic applications is a plus.

Technical Qualifications or Specialized Certification: Backgrounds in engineering, biostatistics/statistics/econometrics, applied mathematics, computer science or decision science highly desired. Programming experience in mathematical modeling and complex biological systems required. Proficient coding in python and C++.

Other Skills: Detail oriented. Organized. Initiative. Problem solving ability. Good communication skills, both verbal and written.


Application Instructions

For more information and to apply, visit

Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex (including pregnancy, gender identity and expression, and sexual orientation), disability status, protected veteran status, or any other characteristic protected by law.

If you are a qualified individual with a disability and need a reasonable accommodation for any part of the application and hiring process, please click here for more information, or contact the Office of Institutional Diversity, Equity & Affirmative Action (IDEAA) at (202) 687-4798.

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