Postdoctoral Associate - Vascular Surgery

University of Florida; Gainesville (FL); On-site; USD 62,000 - 64,000; Full time

Job summary

University of Florida seeks a Postdoctoral Associate in Vascular Surgery to join the genomics research team. You will develop analytical pipelines and apply state-of-the-art methods to multi-omics data, including single-cell RNA-seq and spatial transcriptomics, to advance understanding of vascular and related diseases.

The role offers opportunities to use AI, machine learning, and digital twin approaches for patient-specific modeling and precision medicine discovery, with collaboration across

Qualifications

• For methodology A PhD degree in (Bio)Statistics, (Bio)informatics, CS, Math or related field.
• PhD in biomedical science with genomics data analysis training encouraged.
• Proficient in R and Python; AI experience a plus.
• Experience with genetic/genomic data analysis.

Responsibilities

• Contribute to large-scale clinical studies with multi-omics data.
• Develop analytical pipelines and computational tools for transcriptomics, ATAC-seq, CUT&Tag, and multi-omics integration.
• Apply AI/ML and digital twin frameworks for disease modeling and risk prediction.
• Collaborate with immunologists and critical care researchers to study sepsis and vascular diseases.

Skills

Genomics data analysis

AI/ML awareness

Collaborative research

Education

PhD in BioStatistics/Bioinformatics/CS/Mathematics

PhD in biomedical science with genomics training

Tools

R

Python

Job description

Classification Title

Postdoctoral Associate - Vascular Surgery

Classification Minimum Requirements

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.

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.

Website: https://scirc.med.ufl.edu/

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.

Website: https://surgery.med.ufl.edu/research/research-resources/uf-surgery-genomics-core/

Expected Salary

$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.

Health Assessment Required: Yes