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Senior Systems Analyst

We have an exciting opportunity to join our team as a Sr Systems Analyst. 

This Senior Systems Analyst will bring extensive experience designing and executing computer simulations of biological and clinical systems. 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 Senior Systems Analyst will work on Dr. Anna Bershteyns mathematical modeling team in the Department of Population Health of NYU Langone Health, performing research focused on comparative effectiveness and decision science to address a variety of topical areas, including, but not limited to HIV, tuberculosis, and COVID-19 use. Examples of this research application include studying the optimal use of of point-of-care rapid testing for HIV and COVID-19 in sub-Saharan Africa.

1. 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.
2. Modify, calibrate, validate, and apply computer simulations of HIV, COVID-19, tuberculosis and other disease areas in the context of different patient populations and clinical settings, including resource-poor areas.
3. 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.
4. Communicate with the program team about modeling work in a clear, articulate manner.
5. Provide support with literature searches, IRB compliance, grant proposals and deliverables, and publications.
6. Position may include travel within the New York region and to Southern Africa.
7. The scope of the position may involve managerial responsibilities and/or scientific writing.
Qualifications

Minimum Qualifications:
  • Masters 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.
  • Submission of transcript indicating excellence in related coursework, and/or code and writing samples demonstrating proficiency through 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.
  • Experience working independently on similar projects.
  • Exceptional quantitative and analytical skills.
  • Excellent verbal and written communication skills. 
  • Must be able to take ownership of projects and work with great independence and sound judgment.
  • Exhibit meticulous attention to detail.
  • Willing to ask for help and assistance from team members (proactively scheduling meetings to discuss questions, etc.).
  • Demonstrate an interest in HIV, TB and COVID-19 biology and other healthcare topics, clinical care, decision analytic methods, biostatistics, and epidemiology.
  • Possess time management skills and the ability to multitask.


To qualify you must have a Education and Training:

Masters 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.

Submission of transcript indicating excellence in related coursework, and/or code and writing samples demonstrating proficiency through 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.

Experience working independently on similar projects.

Exceptional quantitative and analytical skills.

Excellent verbal and written communication skills. 

Must be able to take ownership of projects and work with great independence and sound judgment.
Exhibit meticulous attention to detail.

Willing to ask for help and assistance from team members (proactively scheduling meetings to discuss questions, etc.).

Demonstrate an interest in HIV, TB and COVID-19 biology and other healthcare topics, clinical care, decision analytic methods, biostatistics, and epidemiology.

Possess time management skills and the ability to multitask.

Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you’ll feel good about devoting your time and your talents.

NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU Grossman School of Medicine’s EEO policies, please click here. Please click here to view the Federal “EEO is the law” poster or visit

https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. To view the Pay Transparency Notice, please click here.
Organization

NYU Grossman School of Medicine is one of the nation’s top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. For more information, go to med.nyu.edu, and interact with us