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Organoids Postdoc Jobs in Texas (NOW HIRING)

The postdoctoral fellow will lead independent research projects using genetically engineered mouse models, organoids/tumoroids, advanced imaging, and single-cell and spatial omics approaches. Key ...

The postdoctoral fellow will lead independent research projects using genetically engineered mouse models, organoids/tumoroids, advanced imaging, and single-cell and spatial omics approaches. Key ...

The postdoctoral fellow will lead independent research projects using genetically engineered mouse models, organoids/tumoroids, advanced imaging, and single-cell and spatial omics approaches. Key ...

Postdoctoral Fellow - Immunology

Houston, TX · On-site

$46K - $63K/yr

Postdoc will gain an invaluable experience in translational cancer research and the development of ... organoids, co-culture systems, and in vivo cancer models. • Collaborate within a highly ...

Current projects use mouse models, patient-derived organoids, human biospecimens, microbiome and ... POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64 ...

Postdoc will gain an invaluable experience in translational cancer research and the development of ... organoids, co-culture systems, and in vivo cancer models. • Collaborate within a highly ...

... systems, organoids, co-culture systems, and in vivo cancer models. They will be provided an ... Postdoc will gain an invaluable experience in translational cancer research and the development of ...

Current projects use mouse models, patient-derived organoids, human biospecimens, microbiome and ... POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64 ...

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Organoids Postdoc information

What is an organoids postdoc?

Organoids Postdocs are scientists who have completed their doctoral studies and are engaged in postdoctoral research focused on organoid technology. Organoids are 3D, miniaturized, and simplified versions of organs grown in vitro from stem cells, used to model organ development, physiology, and disease. These postdocs typically work in academic or industry labs, contributing to advancements in disease modeling, drug discovery, and regenerative medicine. Their work combines cell biology, tissue engineering, and molecular techniques to develop and analyze organoid systems.

What are the key skills and qualifications needed to thrive as an organoids postdoc?

To thrive as an Organoids Postdoc, you need a PhD in a relevant field (such as biology or biomedical sciences), along with expertise in stem cell biology, tissue culture, and molecular biology techniques. Experience with advanced imaging systems, organoid culture platforms, and possibly single-cell sequencing technologies is highly valuable. Strong problem-solving skills, scientific curiosity, and effective collaboration are crucial soft skills for driving innovative research and working within interdisciplinary teams. These qualifications and skills enable high-quality, reproducible research and contribute to advances in organoid-based disease modeling and drug discovery.

What are some common challenges faced by organoids postdocs when establishing new organoid models in the lab?

Organoids Postdocs often encounter challenges such as optimizing protocols for specific tissue types, ensuring reproducibility across experiments, and managing contamination risks. Establishing new organoid models requires careful selection of cell sources, fine-tuning of culture conditions, and troubleshooting issues like poor growth or differentiation. Collaborating with other team members, such as bioinformaticians and imaging specialists, is essential for validating models and interpreting complex data. Patience and adaptability are key, as developing robust organoid systems can take significant time and iterative adjustments.
What cities in Texas are hiring for Organoids Postdoc jobs? Cities in Texas with the most Organoids Postdoc job openings:
Infographic showing various Organoids Postdoc job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Associate - Cancer biology and bioinformatics

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Re-posted 25 days ago


Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

186th of 617 rated colleges and universities


Job description

Postdoctoral Associate - Cancer biology and bioinformatics
Division: Molecular and Cell Biology
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
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 immune-competent strains and immune-compromised NSG mice that includes tumor implantation, drug treatment, and immune profiling.
  • Establishes and monitors orthotopic xenograft models to study tumor growth and progression within relevant tissue microenvironments.
  • Conducts luciferase labeling of cancer cells and use bioluminescence imaging to trace tumor growth and metastasis in vivo.
  • Performs mechanistic studies examining cancer signaling pathways, cytokine biology, therapeutic resistance, and tumor metabolism.
  • Designs and executes xenograft, orthotopic, syngeneic, and PDX in vivo studies.
  • Develops and maintains 3D organoids/spheroids and support in vivo therapeutic testing.
  • Collaborates with experimental biologists, computational biologists, and clinicians to drive mechanistic and translational outputs.
  • Prepares manuscripts, figures, and grant-related materials, and organize data for grant/paper submissions.
  • Presents research findings at internal meetings and national/international conferences.
  • Mentor's students and support collaborative projects across laboratories.
  • Performs 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
  • 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.
  • Has the 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.
Nature; PD; SN
Requisition ID: 25492

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