Location: Houston, TX
Cap-Exempt H-1B Position — No lottery required
## **Summary** Dr. Putluri’s laboratory at Baylor College of Medicine is seeking a highly motivated and talented Postdoctoral Fellow to join our multidisciplinary cancer research team. The lab is seeking a highly motivated Postdoctoral Associate with strong expertise in cancer biology or molecular biology, and additional skills in bioinformatics/data analysis, to join our multidisciplinary research team at Baylor College of Medicine. The Postdoctoral Associate will work on cutting-edge translational cancer research projects involving tumor cell signaling, metabolic reprogramming, immuno-oncology, and therapeutic target identification. The lab focuses on understanding metabolic and molecular vulnerabilities driving cancer progression, therapeutic resistance, and tumor–immune interactions. This position offers opportunities to work with cutting-edge cancer models, 3D culture systems, and translational human samples. This position offers the opportunity to work with state-of-the-art platforms, including patient-derived models (PDXs), 3D organoids/spheroids, advanced molecular assays, and multi-omics datasets. Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. ## **Job Duties** - Conducts in vitro cancer biology experiments, including 2D culture, 3D organoids, spheroids, and patient-derived models. - Performs CRISPR/Cas9-mediated gene knockout (KO), siRNA/shRNA-mediated knockdown (KD), and validation of engineered cell lines. - Conducts the multi-omics data analysis including RNA-seq, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, and spatial data and multi-omics data integration. - Executes molecular and biochemical assays such as qPCR, Western blotting, ELISA, flow cytometry, and functional phenotyping. - Contributes to the generation and characterization of knockout (KO) mouse models, including colony maintenance, genotyping, and phenotypic analysis. - Performs mouse studies using immun