Research Technician (Term, Full-Time)

Vanderbilt University • Nashville, TN

13h • Onsite

About The Position

The Department of Cell and Developmental Biology at Vanderbilt University provides a vibrant, interdisciplinary environment for cutting-edge research, spanning from single molecules to whole organisms. The department focuses on molecular, cellular, and tissue organization to gain insights into fundamental biological questions and human disease, supported by outstanding core facilities and a top-ranked developmental biology program. Recent faculty recruits are advancing areas such as super-resolution imaging of cell migration, single-molecule analysis of cytoskeletal dynamics, systems biology of intestinal epithelia, stem cell biology, and spatially resolved approaches to understanding tissue architecture and disease. This environment provides an ideal setting for interdisciplinary research at the interface of imaging, computation, and cancer biology. This is a Term position. The Research Technician will be a member of the Lau Lab in the Department of Cell and Developmental Biology at Vanderbilt University. This position provides critical technical support with a primary emphasis on computational analysis to study three-dimensional (3D) tumor biology in colorectal cancer. The primary responsibility of this role is to develop and implement advanced computational pipelines to reconstruct and analyze 3D tumor architecture from multimodal imaging platforms, including holotomography. The Research Technician will integrate diverse data types—such as label-free imaging, multiplex imaging, and spatial datasets—to generate high-resolution 3D representations of tumor tissues and quantify structural features relevant to tumor-immune interactions. A key focus of this work is to characterize the spatial organization of the tumor microenvironment, including immune cell localization, stromal compartmentalization, extracellular matrix (ECM) architecture, and glandular topology. The Research Technician will develop and apply computational methods for image registration, segmentation, and 3D reconstruction, as well as quantitative spatial analysis of features such as immune-tumor accessibility, stromal barrier continuity, and invasive tumor architecture. This includes implementing machine learning and AI-based approaches (e.g., deep learning models, generative modeling, and graph-based analysis) to infer continuous tissue structures and identify biologically meaningful patterns from large-scale imaging datasets. The Research Technician will also support experimental studies involving CRISPR-based genome engineering. This includes assisting in the development of engineered colorectal cancer cell lines to modulate the expression of genes associated with tumor progression. These engineered models, along with syngeneic mouse systems, will be used to investigate tumor-microenvironment interactions and mechanisms of immune regulation.

Nice To Haves

• Bachelors in a biology field
• Computational skills
• Lab experience

Responsibilities

• Develop and implement computational pipelines for multimodal 3D imaging data (e.g., holotomography)
• Perform image processing, registration, segmentation, and quantitative spatial analysis of tumor architecture
• Apply machine learning approaches (e.g., deep learning, generative models, graph-based methods) for 3D reconstruction and feature extraction
• Integrate multimodal datasets (imaging, spatial profiling, and molecular data) to study tumor microenvironment organization
• Support imaging workflows, and basic molecular biology (e.g., PCR) if needed
• Assist with CRISPR-based cell line development and mouse tissue collection for downstream analysis
• Collaborate with lab members on computational and experimental workflows

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level