Research Data Associate * bilingual fluency in Spanish and English

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 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 inclusion and individual skills, ideas, and knowledge.

We have an exciting opportunity to join our team as a Research Data Associate. The Research Data Associate will support several projects relating to the impact that environmental factors have on children's health and development. Currently our team is working on studies requiring team members to collect process and store biological and medical history data for NYU Factors Influencing Reproductive Success and Time to pregnancy (NYU FIRST);

NYU Children's Health & Environment Study (NYU CHES);
Environmental influences on child health outcomes (ECHO); NYU Pediatric Obesity, Metabolism and Kidney Cohort Center. This position will support a growing program of work assisting mainly with day-to-day research activities and data collection.

• Obtain informed consent from study participants and carefully follow study protocols and scripts.
• Communicate with research participants, including but not limited to: scheduling, confirming, and rescheduling appointments.
• Collect biospecimen samples from research participants and safely transport the samples to the lab.
• Obtain diet clinical data including: body measurements, DXA scans, and blood pressure measurements.
• Administer additional study assessments like diet/physical activity questionnaires, chart abstraction, cord blood and delivery/postnatal EHR Extraction as well as anthropometric measurements.
• Conduct follow-up calls with participants to ensure accurate data collection and assist with questionnaire data collection. Keep records of all interactions in our call center database in a comprehensible way.
• Complete all necessary paperwork and data documentation, including but not limited to data collection, and documentation of specimen delivery and participant incentives.
• Perform data entry and database management activities.
• Support the study including but not limited to: creating electronic study forms, cleaning data, and generating reports to be used for participant scheduling and follow-up.
• Ensure adequate stocking of supplies and report needs to supervisor.
• Maintain a positive and accommodating relationship with study team and participants.
• Evening and weekend hours and some travel required.
• Other duties and projects as assigned

To qualify you must have an Associate's degree plus one year related experience or equivalent combination of education and experience. Computer literate with good interpersonal, writing and verbal communication skills.

Bachelors degree plus 1-3 years of related experience in a health care, research, or educational environment. Strong interpersonal and communications skills, including written and verbal skills. Ability to prioritize work, operate under tight deadlines, and meet deadlines. Excellent organizational skills, accuracy and attention to detail; ability to operate independently and with good judgment. Proficiency with various software packages, including Microsoft Word, Excel, Access etc.

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. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package.

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