Candidate in this position will develop and implement novel computer simulations and other mathematical models of disease and treatment, as well as support and extend existing models and simulations. The scientist will work on Dr. Anna Bershteyn’s mathematical modeling team in the Department of Population Health of NYU Langone Health (https://med.nyu.edu/faculty/anna-bershteyn), performing research focused on public health decision analysis primarily related to the world’s highest-burden infectious diseases (HIV, malaria, COVID-19, TB) and co-occurring non-communicable health conditions.

Principal Responsibilities:

-Develop computer simulations and other mathematical models of disease treatment and transmission, working with the Principal Investigator, other faculty and staff, and graduate students/post-docs. Types of models/simulations include but are not limited to agent-based network transmission models, population-based epidemic models, Markov and Monte Carlo simulations.
-Modify, calibrate, validate, and apply computer simulations of HIV, COVID-19, TB, and other disease areas in the context of different patient populations and clinical settings, including resource-poor areas.
-Meet regularly with internal program team and external stakeholders, including but not limited to local and international health authorities, normative agencies such as the World Health Organization, and collaborating researchers and consortia.
-Communicate with the program team about modeling work in a clear, articulate manner.
-Provide support with literature searches, IRB compliance, grant proposals and deliverables, and publications.
-Position may include travel in the US and internationally.
-The scope of the position may involve managerial responsibilities and/or scientific writing.

Desired qualifications:

Education and Training:
-Master’s degree required, PhD preferred, in operations research, computer science, applied mathematics, or related field, or a degree in an adjacent field with a minimum of two years’ equivalent work experience.
-Demonstrated proficiency in Python, R, Matlab, etc. with at least beginner-level experience in C/C++. The interview process will include requirements to provide code sample.
-Experience implementing complex mathematical algorithms including code testing and debugging.
-Experience in full spectrum of software life cycle. Must be able to take on high-level project requirements, and work both independently and as a team member to create a specification, data requirements, implementation plan, and act as primary developer.
-Familiarity with infectious disease modeling and value of information (VoI) methods.
-Experience working independently on similar projects.
-Exceptional quantitative and analytical skills.
-Excellent verbal and written communication skills.

For more information, please contact Ingrida Platais at ingrida.platais@nyulangone.org