Postdoctoral Associate - Vascular Surgery

University of Florida; Gainesville (FL); On-site; USD 37,000 - 62,000; Full time

Job summary

University of Florida seeks a Postdoctoral Associate in Vascular Surgery to contribute to large-scale genomic and multi-omics studies within the genomics research team. The role collaborates with the Sepsis and Critical Illness Research Center to implement advanced analytical methods and develop computational pipelines.

The candidate will work across transcriptomics, chromatin accessibility, proteomics, and AI-driven modeling to advance precision medicine and patient-specific risk prediction.

Qualifications

• For methodology a PhD in (Bio)Statistics, (Bio)informatics, CS, Math or related field.
• PhD in biomedical science with genomics data analysis training encouraged to apply.
• Proficiency in R and Python; AI experience is a plus.

Responsibilities

• Conduct large-scale clinical studies and apply multi-omics integrative methods.
• Develop computational pipelines for transcriptomics, ATAC-seq, CUT&Tag and other data types.
• Collaborate with SCIRC, Surgery Genomics Core and multidisciplinary teams.

Skills

R

Python

AI

Education

PhD in (Bio)Statistics or related quantitative field

Biomedical science with genomics data analysis training

Job description

Postdoctoral Associate - Vascular Surgery

• University of Florida
• United States
• Aug 19, 2026

About University of Florida

At the University of Florida, we are a people of purpose. We\'re committed to challenging convention and ourselves. We see things not as they are, but as they could be. And we strive for a greater impact: one measured in people helped...

Postdoctoral Associate - Vascular Surgery

Job Description:

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

UF Sepsis and Critical Illness Research Center:

The Sepsis and Critical Illness Research Center, the first of its kind in the nation, studies long-term outcomes in patients treated for sepsis in the surgical and trauma intensive care units at UF Health Shands Hospital, with the goal of developing clinical solutions for sepsis as well as illnesses that stem from it and their enduring, dismal effects. The Center focuses on targeted clinical and preclinical studies to better understand the underlying pathophysiologic mechanisms that drive long-term outcomes in critically ill hospitalized patients.

UF Surgery Genomics Core:

The Genomics Core Facility, directed by Dr. Guoshuai Cai, provides comprehensive instrumentation, cutting-edge technologies, and expert technical support for genomics research. The core offers services such as next-generation sequencing, single-cell and spatial transcriptomics and proteomics, and advanced data analysis pipelines. It serves as a centralized resource for all investigators within the Department of Surgery at UF, enabling high-quality, reproducible results while promoting collaboration and innovation. In addition to instrumentation and technical support, the core provides consultation on experimental design, data interpretation, and integration of genomics data into translational research projects.

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

Required Qualifications:

For methodology 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.