Postdoctoral Fellow

Position Overview

We are seeking a highly motivated and collaborative Postdoctoral Research Fellow to join our dynamic perioperative research program focused on sleep/ circadian and brain health, delirium and related perioperative neurocognitive disorders in surgical populations. This position offers an exceptional opportunity to lead and contribute to cutting-edge translational research at the intersection of neuroscience, sleep medicine, perioperative care, digital health, and data science.

The successful candidate will spearhead innovative and interdisciplinary research investigating the neurobiological mechanisms underlying perioperative delirium, sleep disturbances, circadian dysfunction, and cognitive impairment in surgical populations. This work integrates large-scale clinical datasets, multimodal physiological measures (e.g., sleep, actigraphy, cognition, mobility/gait, gut microbiome/biomarkers), and advanced computational and statistical approaches to advance our understanding of perioperative brain vulnerability, resilience, and recovery.

This position is ideally suited for candidates with a strong background in neuroscience, sleep and circadian science, aging, cognitive health, nursing, biomechanics, rehabilitation sciences, biomedical engineering, epidemiology, data science, biostatistics, or related fields, with experience conducting hypothesis-driven clinical, translational, or computational research in human populations.

• Lead complex statistical analyses and predictive modeling of large perioperative datasets using R, SAS, and SPSS
• Develop and implement actigraphy, electroencephalogram protocols and algorithms to process the mentioned variable collected from patients, which includes data cleaning, data analysis and interpretation
• Conduct advanced time-series/longitudinal analyses of sleep and circadian rhythm disruptions in surgical populations
• Perform multivariate analyses integrating clinical, biomarker, and neurocognitive data
• Design and execute computational approaches to analyze neuroimaging and electrophysiological data
• Manage and analyze data collected through REDCap and other clinical databases
• Create data visualizations and interactive dashboards for research dissemination

• Contribute to mechanistic studies examining the neurobiology of perioperative brain health
• Analyze biomarkers related to neuroinflammation, gut microbiome, neurodegeneration, and synaptic function
• Integrate multi-modal (multi-omics) data (clinical phenotypes, gut microbiome, biomarkers) to elucidate pathways of perioperative brain vulnerability
• Collaborate with neuroscience and translational research teams

• Coordinate clinical research protocols and ensure regulatory compliance
• Supervise data collection and quality assurance processes
• Mentor junior researchers and research staff
• Lead manuscript preparation and contribute to grant applications
• Present findings at national and international conferences

• PhD in Neuroscience, Biostatistics, Biomedical engineering, Data Science, Nursing, Epidemiology, or related quantitative field
• Strong programming skills in R (required); proficiency in MATLAB and/or Python, SAS and/or SPSS preferred
• Demonstrated expertise in advanced statistical methods (e.g., mixed-effects modeling, longitudinal analyses, survival analysis, causal inference)
• Track record of peer-reviewed publications in neuroscience, sleep/circadian science, clinical translational research, biomedical engineering or data science
• Strong scientific writing, data visualization, and oral communication skills
• Ability to work independently while collaborating effectively in a multidisciplinary, team-based research environment

• Experience with large-scale clinical datasets and electronic health record data, registries, or longitudinal cohort studies
• Experience with multimodal physiological or behavioral data, including sleep, cognition, mobility/gait, actigraphy, EEG, neuroimaging, or biomarker analyses
• Proficiency in REDCap…