Research Associate

at  NYU Langone

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. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.

POSITION SUMMARY:

We have an exciting opportunity to join our team as a Research Associate.
Center for Advanced Imaging comprises approximately 150 full-time personnel dedicated to imaging research, development, and
clinical translation. Our team is diverse and highly collaborative. We work in interdisciplinary, matrixed groups that include
engineers, scientists, clinicians, technologists, and industry experts. Joining our Center means becoming part of a diverse
community that values crosspollination of ideas, celebrates creativity, and nurtures an environment conducive to
breakthrough innovations.
The Center for Advanced Imaging Innovation and Research at NYU Langone Health is offering research associate positions to
graduate students interested in machine learning research on medical imaging and clinical language data. Machine learning
research associates will work with an interdisciplinary group comprising research scientists, research faculty, postdoctoral
fellows, clinicians, and engineers. The position offers a unique opportunity not only to develop ML models and work on
complex, novel problems, but also to get involved with interdisciplinary research in the exciting field of biomedical imaging.

MINIMUM QUALIFICATIONS:

To qualify you must have a College graduate with a B.S. or B.A. in Biomedical or Physical Sciences. A minimum commitment of two years is required and placement in position may not exceed three years.

PREFERRED QUALIFICATIONS:

At least 1 year completed of a masters or PhD program in computer science, data science, or closely related area,
including completed coursework in deep learning and machine learning.
Thorough understanding of ML fundamentals, probability, and statstiscs.
Strong programming skills in Python and experience with common machine learning and computer vision libraries,
e.g., PyTorch, TensorFlow, OpenCV. Familiarity with soVware development tools, e.g., Jupyter notebook, Git version
control.
Ability to collaborate and communicate effec4vely as a member of a research engineering team.
Interest in and passion for working on complex problems to improve healthcare.
Research experience in ML, computer vision, natural language processing, signal processing, or data mining.
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 $24.38 - $34.95 Hourly. 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

JOB RESPONSIBILITIES:

• After a period of time working in the laboratory, the candidate will be expected to train graduate students and post-doctoral fellows in experimental design, technique and performance.
• Generates hypotheses and designs and performs experiments to test them.
• Executes multiple experiments simultaneously over time independently.
• Records all experimental findings in a laboratory notebook, analyze and interpret experimental findings.
• Based on results, independently suggests and tests modifications to protocols.
• Prepares figures and diagrams for presentations and publications.
• Communicates results and collaborates with other professionals in the lab.
• Demonstrates a significant level of intellectual input into the design of the project.
• Presents findings at lab meeting, responds to challenges, and participates in exchanges of ideas to advance the science.
• Reads and understands relevant scientific literature.
• Contributes to the preparation of articles on research outcomes and progress and to the submission of same for publication.
• Participates in the editing and proofing of grant proposals, annual grant reports, and manuscripts for publication and recommends modifications to the Principal Investigator.

ADDITIONAL POSITION SPECIFIC RESPONSIBILITIES:

Research and Development: Contribute to projects that target challenging problems at the intersection of ML and
medical imaging. Potential projects include deep learning-based image reconstruction for MRI, development of
natural language processing model applications to clinical datasets, or the design and testing of a deep learning and
artificial intelligence tool to infer presence of disease.
Communication: Regularly meet and communicate the status of the project, results, and finding with senior
supervisors. Interact with senior research engineers to develop an understanding of the project needs and
requirements.
Presentation: Present the results of your work at the end of summer to the CAI2R community. Summer projects may
also contribute to ongoing research leading to publication.