Nov 04, 2019
Job Summary The Aging and Biopsychosocial Innovations (ABI) program, led by Dr. Kira Birditt, is a part of the Institute for Social Research (ISR) at the University of Michigan. This program is seeking a postdoctoral fellow to join our team of faculty and staff. The overall goal of this research program is to understand how stress and social contexts affect health and the biopsychosocial factors that account for those links. We seek to foster a multidisciplinary collaboration that capitalizes on advances in mobile technology and biopsychosocial methods to gain a better understanding of social, psychological and biological factors influencing healthy aging. We have several NIH funded projects examining topics including: 1) racial disparities in hypertension, 2) Alzheimer’s caregiving in daily life, and 3) alcohol use and cardiovascular health among older couples. Most of our projects examine how daily experiences of stress and social interactions impact well-being and the cardiovascular system using mobile surveys, ambulatory devices, and longitudinal data. (ABI program website: https://abi.isr.umich.edu ) The fellowship will provide experience in research using longitudinal methods, mobile technology and biomeasures, as well as grantsmanship and manuscript preparation through collaborative work on these research projects. The fellowship also provides access to professional development workshops, seminars in advanced methodology and statistics, and funds for conference travel. The postdoctoral fellow will have multiple opportunities for mentorship from our program faculty and collaborators. The position will provide many opportunities to lead papers and grant proposals as well as to collaborate on projects with colleagues. Major areas of responsibility include but are not limited to: Developing and assisting in manuscript preparation Preparing and delivering scientific presentations for regional, national, and international conferences Assisting with the supervision of data management and analyses and conducting complex statistical analyses of data that include multiple levels and multiple types of data on different time scales Developing and assisting with grant proposals Working collaboratively within an interdisciplinary team. Required Qualifications D. in a relevant discipline (e.g., social science, research methods, statistics) Experience with statistical analysis, including multi-level modeling and data management with large data sets Desired Qualifications Supervisory experience Familiarity with SQL Familiarity with analysis and interpretation of cardiovascular data Additional Information This posting will be posted for a minimum of fourteen (14) calendar days. This opening may be removed from posting boards and filled any time after the minimum posting period has ended. The anticipated start for this position is Winter 2020, Spring 2020, Summer 2020 or Fall 2020. The initial appointment is for one year, with possibility of extension for up to two more years, dependent upon performance and funding. The Institute for Social Research at the University of Michigan seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning. Individuals from groups historically under-represented in the social sciences or related fields are strongly encouraged to apply. Background Screening The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act. U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer.
University of Michigan Ann Arbor, MI, USA Full time