Postdoctoral Associate - Cancer biology and bioinformatics

Monday - Friday, 8 a.m.

- 5 p.m.

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.

• Conduct in vitro cancer biology experiments, including 2D culture, 3D organoids, spheroids, and patient‑derived models.
• Perform CRISPR/Cas9‑mediated gene knockout (KO), siRNA/shRNA‑mediated knockdown (KD), and validation of engineered cell lines.
• Conduct multi‑omics data analysis, including RNA‑seq, proteomics, metabolomics, ChIP‑seq, single-cell RNA‑seq, and spatial data, and integrate multi‑omics datasets.
• Execute molecular and biochemical assays such as qPCR, Western blotting, ELISA, flow cytometry, and functional phenotyping.
• Contribute to the generation and characterization of KO mouse models, including colony maintenance, genotyping, and phenotypic analysis.
• Perform mouse studies using immune‑competent strains and immune‑compromised NSG mice that include tumor implantation, drug treatment, and immune profiling.
• Establish and monitor orthotopic xenograft models to study tumor growth and progression within relevant tissue microenvironments.
• Conduct luciferase labeling of cancer cells and use bioluminescence imaging to trace tumor growth and metastasis in vivo.
• Perform mechanistic studies examining cancer signaling pathways, cytokine biology, therapeutic resistance, and tumor metabolism.
• Design and execute xenograft, orthotopic, syngeneic, and PDX in vivo studies.
• Develop and maintain 3D organoids/spheroids and support in vivo therapeutic testing.
• Collaborate with experimental biologists, computational biologists, and clinicians to drive mechanistic and translational outputs.
• Prepare manuscripts, figures, and grant‑related materials, and organize data for grant/paper submissions.
• Present research findings at internal meetings and national/international conferences.
• Mentor students and support collaborative projects across laboratories.
• Perform other job‑related duties as assigned.

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

• Strong coding experience using R and Python for data analysis.
• Expertise in the biological interpretation of multi‑omics datasets (RNA‑seq, proteomics, metabolomics, ChIP‑seq, single‑cell RNA‑seq, and spatial data) and experience in multi‑omics data integration.
• Ability to develop algorithms and code for innovative multi‑omics data analysis.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.