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$49K

$203.5K

$400K

How much do cancer bioinformatics jobs pay per year?

As of May 29, 2026, the average yearly pay for cancer bioinformatics in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is a Cancer Bioinformatics job?

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 key skills and qualifications needed to thrive in the Cancer Bioinformatics position, and why are they important?

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 are some typical daily responsibilities for someone working in Cancer Bioinformatics?

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.

How much does Pfizer pay bioinformatics?

Bioinformatics roles at Pfizer typically offer salaries ranging from $80,000 to $130,000 annually, depending on experience, education, and location. These positions often require strong skills in data analysis, programming, and familiarity with genomic tools. Compensation may also include benefits such as bonuses and stock options.
More about Cancer Bioinformatics jobs
What cities are hiring for Cancer Bioinformatics jobs? Cities with the most Cancer Bioinformatics job openings:
What are the most commonly searched types of Cancer Bioinformatics jobs? The most popular types of Cancer Bioinformatics jobs are:
What states have the most Cancer Bioinformatics jobs? States with the most job openings for Cancer Bioinformatics jobs include:
What job categories do people searching Cancer Bioinformatics jobs look for? The top searched job categories for Cancer Bioinformatics jobs are:
Cancer Bioinformatics jobs near you
Infographic showing various Cancer Bioinformatics job openings in the United States as of May 2026, with employment types broken down into 4% Locum Tenens, 36% As Needed, 31% Full Time, 4% Part Time, 23% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Bioinformatics Analyst II

Bioinformatics Analyst II

Baylor College of Medicine

Houston, TX • On-site

$70.62K - $83.08K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

49th of 529 rated colleges and universities

Job description

Job Title: Bioinformatics Analyst II
Division: Center for Gene Therapy
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $70,618 - $83,080
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Di Stefano Lab at Baylor College of Medicine's Stem Cell and Regenerative Medicine (STaR) Center and Center for Cell and Gene Therapy investigates the post-transcriptional mechanisms that govern stem cell potency and cell fate - with implications for regenerative medicine and cancer biology. We work with human and mouse embryonic stem cells and adult stem cells, both in vitro and in vivo, combining genome-wide sequencing approaches and CRISPR-based perturbations to dissect how RNA processing, translation, and chromatin regulation control developmental transitions and cell identity. Baylor College of Medicine is widely recognized for its exceptional, innovative, and collaborative research environment. The STaR center is in the Texas Medical Center, the largest biomedical complex in the world, immediately adjacent to Houston's vibrant Museum District and Hermann Park. A Senior Bioinformatics Analyst position is available in the Di Stefano Lab. The individual will identify and implement computational solutions to research problems at the intersection of epigenetics and RNA biology. They will take on highly interdisciplinary projects and apply state-of-the-art open-source software to basic and advanced analyses of next-generation sequencing data, with a focus on single-cell genomics and multi-omics, RNA translation, and epigenetics. In addition, they will have opportunities to present research findings at conferences and network with colleagues across the Texas Medical Center and beyond. The ideal candidate will be highly motivated, well-organized, able to manage time effectively, and capable of working both independently and as part of a team. They will obtain fundamental, career-building exposure in bioinformatics, computational biology, and biostatistics as they develop scripts in Python and R, while using Linux/Unix and high-performance computing (HPC) to analyze genomics data.
Job Duties
  • Process, analyze, and interpret multi-omic datasets across CUT&Tag, RNA-seq, ATAC-seq, single-cell RNA-seq, single-cell multiomics, CLIP-seq, and ribosome profiling, from raw reads through biological conclusions.
  • Develop and apply statistical and machine learning approaches tailored to each data type, including differential expression, chromatin accessibility, translational efficiency, and cross-modal data integration.
  • Build and maintain reproducible, well-documented bioinformatics pipelines using workflow management systems (e.g., Snakemake, Nextflow) and version control (Git/GitHub), deployable on HPC environments.
  • Collaborate closely with wet lab scientists to co-design experiments, integrate computational and molecular findings, and drive projects toward publication.
  • Co-author peer-reviewed manuscripts and contribute to grant applications.
  • Search and critically evaluate primary scientific literature to inform analytical decisions and identify emerging methodologies relevant to the lab's research program.
  • Communicate results clearly to interdisciplinary audiences, including biologists, trainees, and external collaborators.
  • Mentor graduate students and postdoctoral fellows in computational methods and analytical best practices.

Minimum Qualifications
  • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
  • One years of relevant experience.

Preferred Qualifications
  • Master's or PhD degree in a related field
  • Demonstrated experience in Linux operating systems and SLURM cluster-based computing
  • Proficiency in programming languages such as Python, Shell Scripting, and R
  • Demonstrated ability working with open-source bioinformatics software
  • Experience analyzing CUT&TAG, RNA-seq, ATAC-seq, and/or single-cell RNA-seq
  • A record of taking initiative to solve problems and working to high-quality standards
  • Attention to detail and accurate record keeping
  • Ability to multitask, work and learn independently, and be self-motivated

Work Authorization Requirement:
This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 25240

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