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Research Scientist

NYU Langone

Research Scientist

New York, NY +1 location
Full Time
Paid
  • Responsibilities

    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 on LinkedInGlassdoorIndeedFacebookTwitter and Instagram.

     

     

    POSITION SUMMARY: We have an exciting opportunity to join our team as a Research Scientist. The Center for Advanced Imaging Innovation and Research (CAI2R) in the Department of Radiology at NYU Grossman School of Medicine is working on developing disruptive imaging and sensing technologies that are intelligent, robust, accessible, and cheap. The goal of these efforts is to democratize imaging, bringing it closer to the patient, and revolutionizing its role in preventative health and patient care. We are seeking talented and enterprising individuals to join our concerted effort to rethink medical scanners and the paradigms by which they operate. Our initial efforts will concentrate on Magnetic Resonance (MR) scanners. We are looking for highly motivated, self-driven people with experience in a) MR data acquisition and image reconstruction, and/or b) deep learning models for imaging and non-imaging data, and/or c) sensor integration. Such individuals will join our dynamic interdisciplinary team of physicists, engineers, computer scientists, AI scientists, and radiologists. They will report directly to Drs. Daniel K. Sodickson (Vice-Chair for Research) and Hersh Chandarana (Associate Chair for Clinical and Translational Research), who lead our Scanners of the Future program. While we are open to traditional postdoctoral fellowships or research scientist positions, we have also designated a small number of positions for Innovation Fellows. These fellows will be given a high degree of responsibility for strategic projects, and contracts for longer than the usual 1-2 years will be considered. Innovation Fellows will also be protected from many of the usual demands and metrics of academic evaluation, in order to allow them to focus on innovation. Successful fellows will have special opportunities for advancement, either as faculty or as senior research scientists. We have a particular interest in the recruitment and mentorship of young scientists from under-represented backgrounds for this core strategic program, and we encourage such individuals to apply.

     

     

    JOB RESPONSIBILITIES:

    • Responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the Department's research mission.

    • Initial efforts will concentrate on Magnetic Resonance (MR) scanners focussing on  a) MR data acquisition and image reconstruction, and/or b) deep learning models for imaging and non-imaging data, and/or c) sensor integration

    • Investigate disruptive MR scanning technologies that will enable development of cheaper and more accessible MR scanners, outfitted with suitable arrays of ancillary sensors.

    • Develop novel methods in data acquisition, image reconstruction, machine learning, and sensor integration that will enable powerful new imaging capabilities using these scanners and sensors.  

    • Formulates and conducts research on problems of considerable scope and complexity.

    • Develops new ideas that promote current research. Exercises a high degree of creativity, foresight, and mature judgment in planning, organizing, and guiding extensive scientific research programs and activities of outstanding novelty and/or importance.

    • Ensures timely and accurate completion of research projects.

    • Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.

    • Makes decisions and recommendations that have a major impact on extensive scientific research activities.

    • Maintains a thorough knowledge of the advances in specialized fields through attendance of scientific conferences.

    • May make significant contributions to scientific papers. Is a resource/ author/ co-author for reports and presentations.

    • May serve on internal committees to help further goals of research projects and bring new expertise to the research program.

    • Performs other related duties as assigned.

    • Initiates, interprets, organizes, executes, and coordinates research assignments critical to department's mission.

     

     

     

    MINIMUM QUALIFICATIONS: To qualify you must have a MS degree and 2-4 years of experience.

     

     

    PREFERRED QUALIFICATIONS: PhD (or, in exceptional cases, MS or BS) in a relevant field (physics, engineering, mathematics, computer science) and experience with relevant programming languages (Python, Matlab, C/C++, or similar). Capacity for both independent work and collaboration within a multidisciplinary team are a must. Strong publication record in top-tier journals/conferences for relevant fields (physics, engineering, mathematics, computer science).

     

     

    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.

    Required Skills Required Experience

  • Locations
    New York, NY • New York, NY