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Cancer Bioinformatics Jobs in Texas (NOW HIRING)

Moffitt

PhD in Statistics, Biostatistics, Bioinformatics, Computer Science, or a related quantitative field ... Collaborate across cancer biology, clinical research, and data science disciplines. * Develop ...

Moffitt

$69K - $97K/yr

PhD or MD in computer sciences, bioengineering, bioinformatics, biostatistics, or a related ... Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National ...

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$45.7K

$189.6K

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How much do cancer bioinformatics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for cancer bioinformatics in Texas is $189,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $372,700.00 per year, depending on experience, location, and employer.

What is cancer bioinformatics?

A Cancer Bioinformatics job involves analyzing and interpreting large-scale biological data to understand cancer biology and improve treatment strategies. Professionals in this field use computational tools, machine learning, and statistical methods to study genomic, transcriptomic, and clinical data. They work closely with oncologists, biologists, and data scientists to identify biomarkers, track tumor evolution, and develop personalized medicine approaches. This role is essential for advancing cancer research, optimizing therapies, and contributing to precision oncology.

What are the typical daily responsibilities of a cancer bioinformatics specialist?

Professionals in Cancer Bioinformatics spend their days analyzing large-scale genomic datasets from cancer patients, designing algorithms to identify genetic mutations, and interpreting the biological significance of their findings. They often collaborate closely with oncologists, laboratory scientists, and other bioinformaticians to translate data into clinically meaningful insights. Tasks may also include developing and maintaining computational pipelines, preparing reports or visualizations, and staying updated on new analytical methods. This role blends technical and analytical work with teamwork, offering a dynamic work environment where your contributions can directly impact cancer research and patient outcomes.

What are the key skills and qualifications needed for cancer bioinformatics?

To excel in Cancer Bioinformatics, you typically need a strong background in bioinformatics, computational biology, statistical analysis, and a degree in a life science or computational field. Familiarity with tools such as R, Python, next-generation sequencing (NGS) platforms, and commonly used databases like TCGA or COSMIC is vital, and certifications in bioinformatics or genomics can be advantageous. Excellent problem-solving abilities, teamwork, and strong communication skills help in collaborating effectively with multidisciplinary researchers and clinicians. Mastering these skills ensures accurate analysis of complex cancer datasets, supports collaborative discoveries, and advances precision oncology research.

What is the role of bioinformatics in cancer?

In cancer bioinformatics, professionals analyze large-scale genomic and molecular data to identify genetic mutations, biomarkers, and pathways involved in cancer development and progression. They use computational tools and algorithms to interpret sequencing data, aiding in diagnosis, personalized treatment, and research efforts.

What are the most commonly searched types of Cancer Bioinformatics jobs in Texas?

The most popular types of Cancer Bioinformatics jobs in Texas are:

What are popular job titles related to Cancer Bioinformatics jobs in Texas?

For Cancer Bioinformatics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Cancer Bioinformatics jobs in Texas look for?

The top searched job categories for Cancer Bioinformatics jobs in Texas are:

Cancer Bioinformatics jobs near you
Infographic showing various Cancer Bioinformatics job openings in Texas as of August 2026, with employment types broken down into 2% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $189,562 per year, or $91.1 per hour.

Postdoctoral Associate - Cancer biology and bioinformatics

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Re-posted 7 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

190th of 620 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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