Job Description

Description

Position Title:

Schedule: Part-Time (20-27 hours a week)

Timeline: 6 Months

Location: Los Angeles

Study title: Social Networks Engage (SNEngage): A longitudinal examination of factors predicting the social networks and mental health services of individuals with serious mental illnesses.

Duties:

• Collecting Quantitative survey data

• Conduct social network, social cognition and life history interviews

• Enter data into various platforms including RedCap, excel, and box

• Attend regular check-in and team meetings

• Perform other research related activities as required

Qualifications

• Bachelors in social work, psychology, public health, and/or other allied social/behavioral science

• 1-2 years experience working on quantitative research studies, including experience working with large datasets and entering data in RedCap/Quantrics

• 1-2 years experience with collecting quantitative survey data

• Interest in working with individuals with serious mental illnesses

• Excellent data collection, data entry and data management skills

• High level of attention to detail, flexibility, ability to work on a team

• Commitment to social equity and services to marginalized and vulnerable populations

Preferred Education, Experience, and Skills

• Proficiency in Spanish

• Masters in social work or related field preferred

This position is classified under the professional research staff category at NYU and does not qualify for visa sponsorship including STEM OPT extension. Applicants must be authorized to work in the United States for the duration of employment.

Application Instructions

Apply via Interfolio

In compliance with NYC's Pay Transparency Act, the hourly salary range for this position is $19-$29. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.

Job Tags

Hourly pay, Part time, Work experience placement

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