Postdoctoral Associate - Vascular Surgery

Postdoctoral Associate - Vascular Surgery

This position is based within the genomics research team led by Dr. Guoshuai Cai in the Department of Surgery and Dr. Feifei Xiao in the Department of Biostatistics, in collaboration with the Sepsis and Critical Illness Research Center (SCIRC) at the University of Florida (UF). The successful candidate will have a unique opportunity to contribute to large-scale clinical studies and to apply and develop state-of-the-art analytical methods and computational pipelines for diverse data modalities, including transcriptomics (e.g., single-cell RNA-seq and spatial transcriptomics), chromatin accessibility (e.g., ATAC-seq), protein–DNA interactions (e.g., CUT&Tag), and integrative multi-omics datasets.

This role also offers opportunities to apply artificial intelligence, machine learning, and digital twin frameworks to integrate multi-omics, clinical, and longitudinal data for disease modeling, patient-specific risk prediction, therapeutic simulation, and precision medicine discovery. The research will focus on elucidating biological networks underlying critical and chronic diseases and to identify novel therapeutic strategies by developing or applying multi-omic integrative methods.

This role involves close collaboration with a multidisciplinary team of immunologists and critical care intensivists at SCIRC, with research spanning sepsis, trauma, vascular diseases, Alzheimer's disease, and complex disease interactions. In addition, the candidate will play a key role in advancing the Surgery Genomics Core infrastructure by establishing robust analytical pipelines and developing novel computational and statistical methods for integrative analysis of multi-omics and clinical data.

Expected Salary: $62,232 annually, commensurate with experience levels and in accordance with current NIH postdoctoral salary guidelines.

Required Qualifications:

A PhD degree in (Bio)
Statistics, (Bio) informatics, Computer Science, Mathematics or a related quantitative field. Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply.

Preferred:
Proficient in R and Python. Prior experience in genetic or genomic data analysis; experience with AI is a plus.

Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. This requisition has been reposted. Previous applicants are still under consideration and need not apply.

Health Assessment

Required:

Yes