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POSITION SUMMARY:
We have an exciting opportunity to join our team as a Research Scientist. We are looking for a highly motivated and passionate Machine Learning Research Scientist to join our team who has a strong background in machine learning with applications to computer vision and natural language processing.
As a ML Research Scientist, you will be a part of the interdisciplinary group of fellow research scientists, post-docs, machine learning faculty, clinicians, and engineers.
In close collaboration with your colleagues, you will engage with interdisciplinary research topics and develop machine learning solutions for a variety of complex and novel problems using large scale medical imaging datasets and datasets of other modalities.
You will also have the freedom to explore novel ways in which machine learning can have a positive impact in the field of radiology. Leveraging your machine learning knowledge, you will also provide technical guidance to other clinical faculty and researchers to advance their respective projects.
This is a unique opportunity to work in the interdisciplinary area of machine learning and healthcare as, in addition to developing novel models, you will also have an opportunity to deploy the models in real clinical workflows, enabling you to make a real-world impact by improving patient care.
JOB RESPONSIBILITIES:
ADDITIONAL POSITION SPECIFIC RESPONSIBILITIES:
Solve challenging clinical problems at the intersection of machine learning and medical imaging Explore novel ways in which machine learning can have a positive impact in the radiology pipeline, either by improving diagnostic accuracy or brining efficiency or through workflow optimization Work alongside fellow researchers and clinicians to develop scalable algorithms for problems in medical imaging based on state-of-the-art machine learning techniques, such as self-supervised learning, representation learning, and multi-modal learning Provide technical guidance to clinical faculty and students on their respective research projects Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments, such as GPUs and distributed clusters Be a project leader responsible for creating project plans, meeting deadlines, and resolving technical problems Build strong cross-functional partnerships within the department and the institution to initiate novel research Create intellectual property by either publishing your research in top-tier venues or filling for patents or writing invention disclosures
MINIMUM QUALIFICATIONS: To qualify you must have a PHD degree and 3-5 years of experience.
PREFERRED QUALIFICATIONS: PhD in computer science or equivalent field or a Masters degree with strong machine learning research experience and publication record Thorough understanding of fundamental concepts in machine learning, probability, statistics, and numerical optimization Research experience in machine learning, computer vision, natural language processing, signal processing, and data mining Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as publications at workshops or conferences such as ICML, NIPS, KDD or similar Demonstrated software engineer experience via internships, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub) Experience in building machine learning models using large-scale datasets Experience working with standard machine learning and computer vision libraries, such as PyTorch, TensorFlow, and OpenCV Familiarity of programming in low-level languages such as C/C++
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.
NYU Langone Health provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $42,900.00 - $81,000.00 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.
Required Skills Required Experience