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.