Postdoctoral Associate - Cancer Biology and Immunology
Baylor College of Medicine, Houston, TX, United States
Summary
Dr. Putluri’s laboratory at Baylor College of Medicine is seeking a highly motivated and talented Postdoctoral Associate to join our multidisciplinary cancer research team. The lab requires strong expertise in cancer biology or molecular biology and additional skills in bioinformatics/data analysis. The Postdoctoral Associate will work on cutting‑edge translational cancer research projects that involve tumor cell signaling, metabolic reprogramming, immuno‑oncology, and therapeutic target identification. The focus is on understanding metabolic and molecular vulnerabilities that drive cancer progression, therapeutic resistance, and tumor‑immune interactions. 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. Candidates should have recently completed or be graduating with a PhD within the last three years.
Job Duties
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.
Execute molecular and biochemical assays such as qPCR, Western blotting, FACS experiments and analysis, ELISA, flow cytometry, and functional phenotyping.
Contribute to the generation and characterization of knockout (KO) mouse models, including colony maintenance, genotyping, and phenotypic analysis.
Perform mouse studies using immune‑competent strains and immune‑compromised NSG mice, including 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.
Minimum Qualifications
MD or Ph.D. in Basic Science, Health Science, or a related field.
No experience required.
Preferred Qualifications
Ph.D. in Biology or Biomedical Sciences, or Bioinformatics, or related disciplines.
Recent PhD graduates or soon to graduate, or completed PhD within the last three years at the time of application.
Experience in cancer metabolism, tumor microenvironment, or immuno‑oncology.
Familiarity with multi‑omics datasets and pathway analysis.
Experience assisting in grant writing or contributing to funded projects.
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.
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Dr. Putluri’s laboratory at Baylor College of Medicine is seeking a highly motivated and talented Postdoctoral Associate to join our multidisciplinary cancer research team. The lab requires strong expertise in cancer biology or molecular biology and additional skills in bioinformatics/data analysis. The Postdoctoral Associate will work on cutting‑edge translational cancer research projects that involve tumor cell signaling, metabolic reprogramming, immuno‑oncology, and therapeutic target identification. The focus is on understanding metabolic and molecular vulnerabilities that drive cancer progression, therapeutic resistance, and tumor‑immune interactions. 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. Candidates should have recently completed or be graduating with a PhD within the last three years.
Job Duties
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.
Execute molecular and biochemical assays such as qPCR, Western blotting, FACS experiments and analysis, ELISA, flow cytometry, and functional phenotyping.
Contribute to the generation and characterization of knockout (KO) mouse models, including colony maintenance, genotyping, and phenotypic analysis.
Perform mouse studies using immune‑competent strains and immune‑compromised NSG mice, including 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.
Minimum Qualifications
MD or Ph.D. in Basic Science, Health Science, or a related field.
No experience required.
Preferred Qualifications
Ph.D. in Biology or Biomedical Sciences, or Bioinformatics, or related disciplines.
Recent PhD graduates or soon to graduate, or completed PhD within the last three years at the time of application.
Experience in cancer metabolism, tumor microenvironment, or immuno‑oncology.
Familiarity with multi‑omics datasets and pathway analysis.
Experience assisting in grant writing or contributing to funded projects.
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.
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