Research Data Associate ECHO * ARDMS or ARRT Certification Required *

at  NYU Langone Health

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 Data Associate ECHO. Under the NIH-funded national study, Environmental Influences on Child Health Outcomes (ECHO), the team is following infants, young children, and their mothers to determine associations between environmental factors and conditions such as obesity, diabetes, and cardiovascular disease and is looking to recruit radiation technologists interested in academic focus. The Research Data Associate - ECHO position will work to support research into the effects of early-life environmental exposures on children’s health.

MINIMUM QUALIFICATIONS:

To qualify a Bachelor’s degree is preferred. New York State License to practice as a diagnostic radiologic technologist. Certified by the American Registry of Radiologic Technologists (ARRT). Desire to work with mothers and young children. Spanish fluency desired, but not required.
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 $51,243.96 - $75,000.00 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.

• Explain and complete study consent forms with prospective study participants.
• Collect information from the research participants as outlined in the study protocol.
• Conduct detailed research questionnaires with mothers, in person and by phone.
• Ensure participants’ follow-up visits are completed in line with the study timeline/milestones.
• Enter all collected data in accordance with the institutional and study guidelines.
• Assist with study data analysis and record-keeping.
• Abstract data for further analysis by the research team.
• Participate as a dedicated and collaborative team member of a large research team.
• Perform bone density testing when required.