Postdoctoral Associate

University of Florida • Gainesville, FL

4d

About The Position

This Postdoctoral Associate will join the Computational Microscopy Imaging Lab (CMIL), led by Dr. Pinaki Sarder, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA sequencing data and cutting-edge spatial omics data generated using technologies such as 10X Visium and Xenium. The researcher will lead efforts in integrating multi-modal biomedical data with histological and clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A strong publication record and background in computational biology, molecular omics, and AI are essential.

Requirements

• PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, or a related field.

Nice To Haves

• Demonstrated experience in spatial omics data analysis (e.g., 10X Visium, Xenium)
• Proficiency with single-cell RNA-seq tools and workflows (e.g., Seurat, Scanpy)
• Knowledge of machine learning or foundational modeling applied to biomedical data
• Strong publication record in computational biology, systems biology, or AI for healthcare
• Experience in high-dimensional data integration and reproducible workflow development

Responsibilities

• Analyze spatial transcriptomics data using platforms such as 10X Visium and Xenium.
• Perform quality control, normalization, spatial clustering, and feature extraction.
• Apply tools for spatial gene expression visualization and interpretation.
• Process and analyze single-cell RNA sequencing data to support integration with other modalities.
• Conduct clustering, annotation, and alignment with spatial and histological data.
• Assist with incorporating scRNA-seq results into multi-modal pipelines.
• Develop and implement computational workflows for integrating omics, histology, and clinical data.
• Apply machine learning and foundational modeling to support predictive or exploratory analyses.
• Collaborate with interdisciplinary teams to refine multi-modal pipelines.
• Lead or co-author research manuscripts derived from spatial omics and integration analyses.
• Prepare figures, methods, and documentation for publication in peer-reviewed journals.
• Support grant progress reports and contribute to collaborative manuscript efforts.
• Participate in research meetings, cross-institution collaborations, and project planning.
• Document analysis pipelines and maintain clear records of research activities.
• Communicate project progress and key findings to the PI and collaborators.
• Guide junior analysts, students, or interns on tools, tasks, and workflow execution.
• Assist with onboarding and ensure alignment with lab goals and project deliverables.
• Offer informal mentoring to promote skill development and consistency in data handling.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees