Postdoctoral Fellowship, Finan Lab

The Department of Anesthesiology at the University of Virginia (UVA) School of Medicine seeks applications for a Postdoctoral Fellow in the multidisciplinary pain research lab of Dr. Patrick Finan to start in Summer of 2024.   The Finan’s Lab’s goals are to drive innovations toward novel solutions for the treatment and self-management of chronic pain. To achieve those goals, we employ a variety of research methods that explicate the psychological and neurobiological mechanisms of chronic pain. These include intensive longitudinal methods to assess behavioral and physiological correlates of pain in real time (e.g., sleep; emotions; opioid use; cannabis use); laboratory-based experimental methods to understand factors influencing pain perception (e.g., sleep deprivation; quantitative sensory testing; pharmacological challenge; EEG); and clinical intervention methods that engage affect- and sleep-related mechanisms to ameliorate pain and mitigate problematic opioid use (e.g., mindfulness-based interventions; psychedelics; music; suvorexant).

The working environment at University of Virginia is highly collaborative, and our lab is currently developing collaborative projects with faculty in various UVA departments, including Neurology, Neurosurgery, Psychiatry & Neurobehavioral Sciences, and the Contemplative Sciences Center. Additionally, we have extensive ongoing collaborations with investigators outside of UVA (e.g., Johns Hopkins; University of Maryland; UCSD; University of Utah; University of Western Ontario) and encourage trainees to integrate into this collegial research network.

Candidates must have a Ph.D., M.D., or equivalent degree prior to start date. Independent quantitative analysis skills are preferred. Training will be tailored to the goals of the candidate and aligned with the ongoing projects in the lab, with a strong emphasis on manuscript and grant development.

For additional information about the position, please Dr. Patrick Finan at [email protected] .

This position is located in Charlottesville, VA.

This is a 12-month appointment. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .

This position will remain open until filled.   The University will perform background checks on all new hires prior to employment.  A completed pre-employment health screen is required for this position prior to employment. 

To Apply:

Please apply through Workday , and search for R0053710. Internal applicants must apply through their UVA Workday profile by searching ‘Find Jobs’.   Complete an application online with the following documents:

• CV
• Cover letter detailing short and long-term research goals
• Contact information for two references

Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission.  Applications that do not contain all required documents will not receive full consideration.

For questions about the application process, please contact Ashley Cochran, Senior Recruiter at [email protected] .

For more information about UVA and the Charlottesville community please see

http://www.virginia.edu/life/charlottesville and https://embarkcva.com/ .

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person’s perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.