Assistant Research Scientist/Scholar Part Time Non-Exempt

Description

A faculty member in the NYU Department of Sociology is seeking a research scientist to support quantitative research on technology, administrative burden and access to means-tested programs. Project uses large administrative datasets and event-history methods to study how families move through program enrollment and where they encounter friction. The RA will work closely with the PI on data management, analysis, and the production of results for academic papers.

Responsibilities

• Clean, manage, and document large administrative and survey datasets.
• Construct analytic samples and variables; maintain reproducible, well-commented code.
• Run descriptive and multivariate analyses, including survival / event-history models (Cox, accelerated failure-time).
• Produce publication-quality tables and figures.
• Contribute to data-structure diagnostics and short analytic memos, and participate in analytic decisions.
• Maintain strict data confidentiality and follow all IRB and data-use requirements.

Terms

• Appointment / hours: 10 hours/week
• Compensation:$31/hr
• Start date: ASAP 
• End date: Aug 31
• Location: New York, NY (in person)

Qualifications

Required qualifications

• Training in applied statistics and quantitative methods (regression; ideally some exposure to survival analysis).
• Proficiency in R and/or Stata.
• Experience cleaning and managing messy, real-world data.
• Strong attention to detail, documentation, and reproducibility.
• Ability to work independently and communicate findings clearly.
• Background in sociology, social policy, public health, economics, statistics, or a related field.

Preferred qualifications

• • Experience with administrative or health data 
  • Survival / event-history analysis and multilevel models.
  • LaTeX and version control (git).
  • Substantive interest in poverty, inequality, administrative burden, or safety-net policy.

Application Instructions

To apply

Submit (1) a CV or resume, (2) a brief cover note describing relevant methods experience, (3) a code sample or repository link if available, and (4) names of one or two references PI may contact. 

The role involves sensitive administrative data; candidates must have complete required human-subjects training.

 

We welcome applications from international candidates; however, please note that NYU is not an E-Verify employer and therefore unable to support STEM OPT extensions.

This position is based in New York and the selected candidate will be expected to work onsite as of their effective start date.

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