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About this job

Have YOU ever wondered where the information from the interesting studies you hear about originates? Come work for Mathematica so you can learn what's behind those numbers! Mathematica is looking for Project Assistants to conduct research studies with people all over the country on important social issues.

 

As a project assistant, your contributions in gathering information and providing data collection support on topics such as health care, employment, and education will help us further our mission of conducting high quality work that answers our clients' questions and improves public well-being.

 

Job duties:

Conduct research interviews

Locate respondents

Perform clerical tasks

 

Job requirements:

1 - 2 years of prior customer service or call center experience

Must be able to speak clearly and be clearly understood over the phone

Excellent computer skills - MS Office Suite and database experience preferred

High School Diploma required; Bachelor's degree preferred

Bilingual English/Spanish is preferred

Availability to work minimum 20 hours per week

Willingness to undergo a low level security clearance

 

Benefits/Compensation

$10.20 per hour to start

$12.00 per hour for tested and certified Bilingual English/Spanish staff

Differential pay for late night and weekend hours

Casual dress code

Potential for health benefits and paid time off

Company sponsored events

Convenient location in Princeton, NJ off U.S. Route 1

 

Mathematica Policy Research provides comprehensive social policy research and data collection services to U.S. and international government agencies, state and local governments, foundations, and the private sector. We are committed to providing extensive information and analysis while upholding the highest standards of quality and objectivity. Mathematica has been at the forefront of research, contributing valuable assessments of policies and programs, for more than 45 years.

 

Join our team!  Apply online:

 

We are an Equal Opportunity Employer and do not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state or local protected class.