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Position Summary:
We have an exciting opportunity to join our team as a Research Engineer. This position offers an exceptional opportunity to contribute to groundbreaking research focused on advancing the science of organ transplantation and shaping national organ allocation policy. Under the mentorship of internationally renowned leaders Dr. Dorry Segev, MD, PhD, Dr. Sommer Gentry, PhD, and Dr. Michal Mankowski, PhD, the Research Engineer will join a multidisciplinary team committed to addressing critical challenges in organ transplantation and improving patient outcomes. They will have access to state-of-the-art resources and collaborate on projects that combine epidemiology, operations research, qualitative methods, and research engineering methods.
This position will contribute towards the Operations Research Core of the Center for Surgical & Transplant Applied Research (CSTAR) that is a part of the Department of Surgery and Transplant Institute. This individual will be positioned to contribute to analytics efforts within CSTAR and with all internal and external collaborators. By teaming up with clinicians, operations and administrative teams, the individual will develop innovative and impactful data-driven healthcare solutions. The Research Engineer will report to Dr. Michal Mankowski while working closely with other staff and faculty members of CSTAR.
Job Responsibilities:
Minimum Qualifications:
To qualify you must have a Masters degree in computer engineering or a bachelor's degree in computer engineering, or equivalent, with at least 2 years of relevant work experience
Familiarity with machine learning principles, statistics, probability, and numerical optimization
Some experience building machine learning models using large-scale datasets, and deploying them in real world environments
Experience developing and debugging in scripting languages such as Python
Familiarity programming in lower-level languages such as C/C++ Experience working with standard machine learning and computer vision libraries, such as PyTorch, TensorFlow, and OpenCV.
Preferred Qualifications:
Experience in building software within a large healthcare system
Experience with building and deploying systems in real world environments for data collection, aggregation, and preparation
Experience in building tools for high performance computing and distributed systems
Experience in building both frontend and backend software tools that can facilitate ML research
Basic understanding of ML concepts and how they interact with the software scaffolding around them in real-world environments
Strong communication skills. Since you will be working in an interdisciplinary team of engineers, clinicians, and scientists, it is imperative that you have the ability to articulate complex technical concepts in a way that they are understood by a non-technical audience
Passion towards using technology to improve healthcare outcomes
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.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $81,325.15 - $86,204.84 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
To view the Pay Transparency Notice, please click here
Required Skills
Required Experience