Research Assistant Professor - Psychiatry & Behavioral Neuroscience #PBN087

The University of Chicagos Department of Psychiatry & Behavioral Neuroscience seeks a research appointee at the rank of Research Assistant Professor to join the Innovation in Population Health Center. Compensation is dependent upon qualifications. This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees including health retirement and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook .

The Innovation in Population Health Center has a long history of developing person-centered assessment tools decision-support models and data-driven strategies to improve behavioral health and human service systems. Grounded in Transformational Collaborative Outcomes Management (TCOM) this work integrates research statistical analysis training and implementation support to translate information about individual needs and strengths into actionable guidance for service planning quality improvement and outcome monitoring.

The appointee will initially conduct academic research in collaboration with a faculty member or team participating in one or more of the ongoing research projects involving the development and application of statistical and machine learning methods to Child and Adolescent Needs and Strengths (CANS) and other Transformational Collaborative Outcomes Management (TCOM) assessment data including predictive modeling evaluation of service outcomes and development of decision-support algorithms but will be expected over time to develop their own independent research agenda and grant portfolio.

Prior to the start of employment qualified applicants must have: 1) a doctoral degree or equivalent in epidemiology biostatistics or related field and 2) completed postdoctoral training in biostatistics epidemiology statistical methodology or a related quantitative research area.

We especially welcome applicants with expertise and experience in statistical methodology development machine learning predictive modeling analysis of large-scale assessment data and scientific programming in R and Python with applications to behavioral health or child welfare research. Assessment of applications will consider publication record experience with collaborative research track record and potential to obtain extramural funding.

To be considered those interested must apply through The University of Chicago Academic Recruitment job board which uses Interfolio to accept applications: Applicants must upload a CV including bibliography and research statement. Review of applications ends when the position is filled.

For instructions on the Interfolio application process please visit Experience:

Junior IC