Data and Research Temp, Sloan Scholars Mentoring Network

Job Type

Full Time



Start Date


Application Deadline



300 Cadman Plaza West
New York
United States


The Social Science Research Council (SSRC) is an independent, international, nonprofit organization devoted to the advancement of interdisciplinary research in the social sciences through a wide variety of workshops and conferences, fellowships and grants, summer training institutes, scholarly exchanges, research, and publications. For more information, please visit our website:

Since 1995, the Alfred P. Sloan Foundation has been providing support for underrepresented minorities through its Minority PhD and Sloan Indigenous Graduate Partnership programs, which aim to increase the diversity of higher education in STEM fields. Although these efforts have increased the number of underrepresented minorities in the STEM fields by over 900 Sloan Scholars, more work can and should be done in order to promote the professional development of these scholars post PhD and to create a robust network of Sloan Scholars who collaborate with each other professionally and foster a passion for mentoring peers and junior associates within the network of Sloan Scholars, within their home institutions, and within their fields.

The Sloan Scholars Mentoring Network (SSMN) is seeking a part-time program assistant for the fall 2018 semester to assist in data research, data preparation for analysis, data cleaning, reports, and online tools. Preference will be given to current graduate students, though exemplary undergraduates will also be considered. This is a great opportunity for someone who wants to participate in the development of future SSMN reports and other products, be an integral member of a small, dynamic team, and gain practical experience in grant-writing and translating data-based research into accessible documents for nonacademic audiences. The minimum time commitment is four months part time (in the range of 10–12 hours per week). 


Applicants must be undergraduate or graduate students in the social sciences or data sciences (recent graduates will also be considered) and must have:

  • familiarity with a statistical software package and excellent Excel skills;
  • a demonstrated interest in issues regarding underrepresented minorities in higher education, in particular, those in STEM fields;
  • a strong academic background and good writing skills;
  • some experience using data to make arguments desirable.


Duties for this short-term position, to be performed under the supervision of program staff, include a diverse range of tasks, the exact mix of which will be determined based on the program assistant’s skills and interests. The chief areas of work are:

  •  participating in statistical research and data collection;
  • carrying out data calculations;
  • helping to contribute to the project’s online communications efforts;
  • conducting literature reviews on diverse topics in STEM higher education;
  • other duties and additional responsibilities and projects as directed, depending upon interest and capacity.

Professional Level

Entry level

Minimum Education Required

4-year degree

How To Apply

To apply, please submit your cover letter and resume. Priority consideration will be given to applications submitted by October 1.

The Social Science Research Council is an equal opportunity and affirmative action employer. We are dedicated to equal employment opportunity and to cultivating and sustaining a diverse, equitable, and inclusive workforce. SSRC maintains a policy of non-discrimination with all employees and applicants for employment. All aspects of employment with the Council are made on the basis of competence, skill and qualifications and will not be influenced in any manner by race, creed, color, religion, sex/gender, national origin/ancestry, ethnicity, age, political affiliation, sexual orientation, marital or domestic partner status, medical conditions (including pregnancy and/or genetic information) or physical or mental disability, citizenship status or any other categories prohibited by law.