Data-Driven Evaluation Manager (Part-Time)

Research Foundation Cuny; New York (NY); On-site; USD 37,195 - 50,971; Part time

Benefits offered by this job

RFCUNY Benefits

Job summary

RFCUNY is seeking an Evaluation Manager for the NYCenter within the CUNY Med program. The role emphasizes developing evaluation measures, data management, and statistical analysis to support NIH-funded research initiatives.

You will collaborate with MPIs and Core Directors to design data collection, code datasets, and generate reports, while ensuring FERPA/HIPAA compliance and maintaining data dictionaries.

Qualifications

• A Master's Degree in a relevant field from an accredited institution, or a Ph.D. in a relevant field with substantial experience.
• Strong background in statistics and program evaluation for NIH-funded grants is required.
• Experience with data management, data dictionaries, and reporting is essential.

Responsibilities

• Develop and implement evaluation measures and data collection procedures for NIH-funded projects.
• Provide consultation on data collection design and appropriate statistical techniques.
• Utilize SAS/SPSS and Excel to manage datasets, create templates, and code data.
• Prepare programmatic reports and maintain documentation and data dictionaries.
• Review database variables and ensure FERPA/HIPAA compliance.
• Communicate findings effectively with project staff and external partners.

Skills

Data management

Statistical programming

Data coding & dictionaries

Technical report writing

Research methods

Education

Master's degree in a relevant field

Ph.D. in a relevant field

Background in statistics

Tools

SAS

SPSS

Excel

Job description

RFCUNY is seeking an Evaluation Manager for the NYCenter within the CUNY Med program. The role emphasizes developing evaluation measures, data management, and statistical analysis to support NIH-funded research initiatives.

You will collaborate with MPIs and Core Directors to design data collection, code datasets, and generate reports, while ensuring FERPA/HIPAA compliance and maintaining data dictionaries.