Environmental Pediatrics Research Data Associate

NYU Grossman School of Medicine; New York (NY); On-site; USD 48,000 - 59,000; Full time

Benefits offered by this job

Comprehensive benefits package

Wellness program

Paid time off and retirement plan

Job summary

NYU Grossman School of Medicine is offering a Research Data Associate position supporting projects on environmental factors affecting children's health. You will collect biospecimen and medical history data, coordinate participant interviews, and assist with day-to-day research activities and data management.

Evening/weekend hours and some travel are required, with emphasis on accurate data collection, documentation, and interaction with study participants.

Qualifications

• Associate's degree plus one year related experience.
• Computer literate with good interpersonal, writing and verbal communication skills.
• Bachelor's degree preferred in science, public health or related field.
• Health care settings or research interviews experience preferred.
• Patient education experience is a plus.

Responsibilities

• Obtain informed consent and follow study protocols and scripts.
• Communicate with participants for scheduling and follow-up.
• Collect biospecimen samples and transport to the lab safely.
• Record diet data, DXA scans and blood pressure measurements.
• Administer diet/activity questionnaires and chart abstraction.
• Perform data entry and database management tasks.
• Create electronic study forms and generate reports for scheduling.
• Maintain supplies and coordinate with supervisor.

Skills

Interpersonal communication

Written communication

Verbal communication

Data entry

Computer literacy

Education

Associate's degree

Bachelor's degree (preferred)

Tools

Microsoft Excel

Database software

Job description

NYU Grossman School of Medicine is offering a Research Data Associate position supporting projects on environmental factors affecting children's health. You will collect biospecimen and medical history data, coordinate participant interviews, and assist with day-to-day research activities and data management.

Evening/weekend hours and some travel are required, with emphasis on accurate data collection, documentation, and interaction with study participants.