Job Description

The Postdoctoral Quantitative Researcher is a full-time position that includes quantitative analyses and research activities associated with various assessments across projects at the Program in Education, Afterschool, and Resiliency (PEAR) at McLean Hospital and Harvard Medical School. Specifically, the postdoctoral fellow at McLean Hospital and Harvard Medical School will contribute to the development and study of the Holistic Student Assessment (HSA), the Dimensions of Success (DoS) and the Common Instrument Suite (CIS). The position requires skills in quantitative analysis and the use of statistical software packages such as SPSS, STATA and SAS.

The Program in Education, Afterschool & Resiliency (PEAR) is dedicated to improving outcomes for youth through program development, school reform and prevention. PEAR provides trainings and assessments tools that inform professionals about program quality and the socio-emotional development and resiliency of students in schools and afterschool settings. The program director is Dr. Gil Noam, Associate Professor at Harvard Medical School.


  1. Work with the Director and Senior Managers of PEAR in developing and strengthening existing tools/surveys through quantitative analysis and applied research.
  2. Work with the PEAR team to collect and analyze data obtained from students, parents, teachers and facilitators in schools, afterschools and informal science settings.
  3. Help coordinate study, maintain databases and conduct descriptive and complex analyses as needed.
  4. Contribute to the writing of internal and external reports, peer reviewed journal articles and grants.
  5. Communicate regularly with PEAR staff and outside partners related to trainings, research projects and/or data collection.

Minimum Qualifications and Requirements:

  1. PhD – preferably in quantitative research methods, educational psychology, human development, or clinical psychology.
  2. Experience and background in data collection and management, research methods, and quantitative analysis.
  3. Proven background working with statistical software for data analysis, manipulation and management.
  4. Must possess strong writing and communication skills.
  5. Must be highly organized and able to manage multiple deadlines and priorities.
  6. Dedicated to linking research to educational practice, programs and policy.

To apply: submit resume and cover letter to Dr. Dylan Robertson, .