Professors Michelle Meyer and Christopher Chabris are seeking an outstanding researcher for a position as a Postdoctoral Research Fellow at Geisinger Health System. The postdoc will primarily carry out collaborative behavioral science research aimed at better understanding and ameliorating experiment aversion (see https://www.pnas.org/content/pnas/116/22/10723.full.pdf and https://www.pnas.org/content/pnas/117/32/18948.full.pdf). The postdoc will, secondarily, carry out collaborative behavioral science research on other meta-science phenomena, such as how people understand and react to genetic information (especially personalized information), to nudges, and to AI. The position is funded by grants from the NIH, the FDA, and Open Philanthropy. The postdoc will be encouraged to propose studies within the broad scope of the grants and there will also be opportunities (but not obligations) to collaborate on relevant ethics, law, and policy articles.
Conducts research related to specific project or initiative.
Gathers, summarizes, records and interprets data obtained from research projects and initiatives.
Plans subsequent work with review and approval of principal scientist and investigator.
Develops research protocols.
May instruct others in area of expertise.
May present research results at internal and external scientific venues.
Interprets and follow policies and guidelines to define procedures and meet goals and deadlines.
The postdoc will report to Professors Meyer and Chabris. They will join the interdisciplinary Meyer-Chabris Lab and the broader growing community of social scientists at Geisinger (e.g., its Behavioral Insights Team). They will collaborate with other researchers across disciplines inside and outside of Geisinger, and will be based in either Lewisburg or Danville, Pennsylvania, or will work remotely elsewhere in the U.S. The postdoc will assist in planning and carrying out web-based surveys and field studies, and in analyzing general patterns of responses as well as individual differences. They will be expected to employ a combination of approaches, from the identification and analysis of existing real-world data sets, to the design and analysis of field or lab intervention studies. We are particularly interested in candidates with strong statistical and/or computational skills. Other duties include contributing to ongoing research projects, preparing talks and participating in seminars, and drafting reports, grant applications, and papers for publication. The Meyer-Chabris Lab is committed to open science; lab members preregister their work and openly share data, materials, and code.
Duration: This is a one-year position with the possibility of renewal for one or more additional years conditional on funding and performance.
Start date: ASAP.
To apply: Please send a brief cover letter, C.V., and two representative publications or manuscripts in a single email to email@example.com. Please include names, titles, and contact information for two references. Questions about the position may also be sent to the same address. Review of applications will begin immediately and will continue until the position is filled.
Geisinger Health System is a large, integrated health services organization that, through its 12 hospital campuses, serves more than 3 million residents throughout 45 counties in central, south-central and northeastern Pennsylvania, and in southern New Jersey. As an aspiring learning health care system, Geisinger strives to integrate research into all aspects of medicine and healthcare delivery. Research at Geisinger benefits from the system's 25 years of electronic health records, its clinical data warehouse, and its rapidly growing biobank (more than 250,000 patient-participants consented for whole exome genetic sequencing, with over 92,000 exomes sequenced to date). Geisinger's main campus in Danville, PA, is located within a three-hour drive of New York City, Philadelphia, Baltimore, and Washington, DC.
Professor Meyer: http://www.michellenmeyer.com
Professor Chabris: http://www.chabris.com
Research at Geisinger Health System: https://www.geisinger.edu/research
Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
A Ph.D. (completed by start of employment) in social, cognitive, moral, or health psychology, behavioral economics, another social science, public health, communications, or any other relevant scientific discipline
Training in behavioral science research methods, including experimentation and multivariate data analysis
Experience with statistical software (preferably R, others acceptable)
Experience in interdisciplinary research, working in collaborative teams, and managing research assistants
Interest in research on human genetics and its applications
Experience with programming (e.g., Python)
Experience with information visualization techniques and software
Experience with qualitative research methods (e.g., focus groups, semi-structured interviews, coding free response data)
Interest, experience, or expertise in policy or normative research
Interest, experience, or expertise in communicating science to the public