The University of Pittsburgh’s Center for Analytics in Sleep, Circadian Rhythms and Health seeks a post-doctoral associate to advance statistical methods in psychiatry. The role combines independent research, training in modern statistical techniques, and collaboration on NIH-funded projects. Candidates should have strong communication skills, a PhD in a quantitative field, and experience with models and machine learning. The position offers a supportive, internationally recognized research environment ideal for launching a career in psychiatric statistics.
Qualifications or Expectations:
- A PhD in a quantitative field (e.g., statistics, biostatistics, or quantitative psychology) is preferred
- Commitment to quality and integrity are essential skills
- Excellent oral and written communication skills
- Familiarity with mixed effect models, analysis of high-dimensional data, clustering, and/or machine learning is preferred
- The ability to manage multiple projects simultaneously
Opportunities Available:
- The candidate will publish their research in high-quality, peer-reviewed journals and have the opportunity to help to develop and submit grants as an independent investigator and/or key collaborator
- The successful candidate will find this position as an opportunity to launch and maintain a successful research career in statistics for psychiatry research
- The successful candidate(s) will continue in their own independent methodological and/or applied research, receive training in cutting-edge methods for statistics in psychiatry (e.g., related to sleep/circadian data, mental health, high-dimensional and/or multi-modal data, clustering, and/or machine learning), and engage in various applied collaborative projects sponsored by NIH and other agencies
Duties or Responsibilities:
- Adapt and apply cutting-edge statistical methods to investigate research questions related to sleep/circadian rhythms and mental health
- Conduct independent methodological and/or applied research using existing data.
- Gain skills to launch and maintain a successful research career in psychiatric statistics.
- Gain training in content and methods for sleep-circadian science.
- Gain training in statistical methods for psychiatric research, especially related to multi-modal and high-dimensional sleep and psychiatric data.
- Participate in ongoing NIH-funded studies of sleep/circadian science and mental health in adolescence, including the Pediatric Precision Sleep Network (PPSN) and the Center for Adolescent Rhythms and Reward (CARRS)
- Submit first- and co-author publications to high-quality peer-reviewed journals stemming from independent and collaborative research.
For more info about this position, visit:https://psychstats.pitt.edu/
Application Instructions:
Submit resume to Meredith Wallace @
[email protected] if interested.