Research Specialist

Pennsylvania, United States
12 Feb 2019
End of advertisement period
12 Apr 2019
Academic Discipline
Social Sciences, Psychology
Contract Type
Fixed Term
Full Time

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

The School of Arts and Sciences forms the foundation of the scholarly excellence that has established Penn as one of the world’s leading research universities. We teach students across all 12 Penn schools, and our academic departments span the reach from anthropology and biology to sociology and South Asian studies.

Full-time position in the Department of Psychology at the University of Pennsylvania. The Boundaries of Anxiety and Depression Lab is seeking a full-time research specialist to manage the daily activities of the lab and assist with all stages of clinical research. Our research focuses on normal and abnormal experiences of worry, anxiety, depression, and stress, with particular emphasis on explaining and predicting the co-occurrence of anxiety and depressive disorders. The candidate will work directly with Professor Ayelet Ruscio in planning and overseeing a variety of research projects in our dynamic and supportive lab. Responsibilities include: participant recruitment and screening, data collection (including conducting clinical interviews), data management and analysis, literature reviews, assisting with manuscript and grant preparation, and coordinating the work of undergraduate research assistants in the lab. The candidate will have a meaningful role in designing and carrying out clinical studies and will receive mentoring and opportunities for professional development. Interested individuals will have the chance to learn advanced statistical skills, co-author publications, present at conferences, and pursue research of their own design. This is an ideal position for graduating seniors who would like to strengthen their preparation and competitiveness for graduate school in clinical psychology or a related field. For more information about our lab, please see

This is a two year term appointment.

We seek a highly conscientious, organized, detail-oriented, and self-motivated individual who will have a Bachelor’s degree by August 2019. Majoring in psychology, previous research experience, and knowledge of SPSS are a plus, but not required. We look forward to working with a candidate who enjoys learning, is enthusiastic and hardworking, and is committed to pursuing graduate study in psychology or a related field. A 2-year commitment is preferred, ideally beginning in June or July 2019. To apply, please submit a cover letter, a vita/resume, and contact information for at least two references.

Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.