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$49K

$203.5K

$400K

How much do full time cancer bioinformatics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for full time 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 full time cancer bioinformatics?

A full time cancer bioinformatics job involves using computational and statistical methods to analyze biological data related to cancer. Professionals in this role work with large datasets, such as genomic or clinical data, to identify patterns and insights that can advance cancer research, diagnosis, and treatment. They often collaborate with biologists, clinicians, and other researchers to interpret data, develop new analysis tools, and contribute to scientific publications. The role typically requires expertise in biology, computer science, and data analysis, and is usually based in research institutions, hospitals, or biotech companies.

What are the key skills and qualifications needed to thrive as a full time cancer bioinformatician?

To thrive as a Full Time Cancer Bioinformatician, you need expertise in molecular biology, genomics, and strong programming skills (often in Python or R), usually supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with high-throughput sequencing data, bioinformatics pipelines, and tools such as GATK, Bioconductor, and cloud computing platforms is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills ensure accurate data analysis, meaningful insights, and successful integration of bioinformatics into cancer research and clinical applications.

What are some common challenges faced by professionals in a full time cancer bioinformatics role, and how can they be addressed?

Professionals in full-time cancer bioinformatics roles often encounter challenges such as managing large-scale genomic datasets, integrating heterogeneous data sources, and staying updated with rapidly evolving analytical tools. Collaborating closely with both laboratory scientists and clinicians can also present communication hurdles, as translating complex bioinformatics results into actionable insights requires interdisciplinary understanding. These challenges can be addressed through continuous learning, leveraging robust data management pipelines, and fostering open communication within multidisciplinary teams.

What is the difference between Full Time Cancer Bioinformatics vs Full Time Genomic Data Analyst?

AspectFull Time Cancer BioinformaticsFull Time Genomic Data Analyst
Required CredentialsDegree in Bioinformatics, Computational Biology, or related field; experience with cancer datasetsDegree in Bioinformatics, Data Science, or related field; experience with genomic data analysis
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on cancer researchHealthcare institutions, research organizations analyzing genomic data
Industry UsagePrimarily in cancer research and personalized medicineBroader genomic data analysis across various health conditions

Full Time Cancer Bioinformatics specialists focus on analyzing cancer-specific datasets, often requiring specialized knowledge in oncology. In contrast, Full Time Genomic Data Analysts work with a wider range of genomic data across multiple health areas. Both roles require similar technical skills but differ in their specific focus and application within the industry.

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What cities are hiring for Full Time Cancer Bioinformatics jobs?

Cities with the most Full Time Cancer Bioinformatics job openings:

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

The most popular types of Cancer Bioinformatics jobs are:

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States with the most job openings for Full Time Cancer Bioinformatics jobs include:

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Full Time Cancer Bioinformatics jobs near you
Infographic showing various Full Time Cancer Bioinformatics job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 3% As Needed, 82% Full Time, 10% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Computational Biologist I, Simmons Cancer Center

Dallas, TX • On-site

UT Southwestern Medical Center
Hospitals • 10K+ employees
Learn more about UT Southwestern Medical Centerexternal

Full-time

Medical, Retirement, PTO

Posted 29 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

Job description

WHY UT SOUTHWESTERN?
With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!
JOB SUMMARY
Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics. Works collaboratively with Principal Investigator ("PI") to determine the most suitable computational methods and tools to analyze large-scale biological data sets. Prepare reports for presentation or publication. Responsible for assisting PI in meeting the system needs for multiple research projects and/or labs.
The Choi Laboratory within the Center for Cellular Therapies and Cancer Immunology at UT Southwestern conducts interdisciplinary research at the intersection of cancer immunology, cellular therapy, immune engineering, and AI-enabled biomedical discovery. The Computational Biologist I will work collaboratively with the Principal Investigator, Dr. Jaehyuk Choi, and a multidisciplinary team of computational and experimental researchers 1) to analyze and manage large-scale genomic, single-cell, spatial, clinical, and other multi-omic datasets and 2) to implement novel computational methods to analyze and engineer new proteins. The position will help identify, implement, and refine appropriate bioinformatics, statistical, and computational methods to produce reproducible analyses and translate complex data into meaningful biological insights.
Responsibilities include developing and maintaining computational workflows, software tools, databases, and research computing resources; supporting data visualization and interpretation; and contributing to machine-learning and other advanced analytical approaches as appropriate to project needs. The Computational Biologist I will document code, methods, and results; prepare analyses and reports for presentations, publications, and collaborative discussions; and provide technical support and training related to laboratory computational systems. This position will support multiple collaborative research projects aimed at advancing the understanding of immune biology and accelerating the development of innovative cellular and immune-based therapies.
BENEFITS
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
  • PPO medical plan, available day one at no cost for full-time employee-only coverage
  • 100% coverage for preventive healthcare-no copay
  • Paid Time Off, available day one
  • Retirement Programs through the Teacher Retirement System of Texas (TRS)
  • Paid Parental Leave Benefit
  • Wellness programs
  • Tuition Reimbursement
  • Public Service Loan Forgiveness (PSLF) Qualified Employer
  • Learn more about these and other UTSW employee benefits!

EXPERIENCE AND EDUCATION
Required
  • Education
    Master's Degree In Computer Science or a related field of biological science or
    Bachelor's Degree In Computer Science or a related field of biological science
  • Experience
    2 years Related research experience in bioinformatics and computational biology with Bachelor's Degree

JOB DUTIES
  • Manage research laboratory computer hardware and software programming and maintenance. Ensure existing systems meet the continuing needs of the lab and/or recommend and test new systems as necessary.
  • Perform complex data analysis related to specialized research methodologies and results as assigned by the PI.
  • Develop and/or modify software to support new and ongoing research projects.
  • Resolve hardware, software, and network issues in support of the lab.
  • Develop and maintain complex databases to support new and ongoing research projects.
  • Train laboratory staff in the use of pertinent research systems.
  • May specialize in bioinformatics, software development, network administration, or hardware/software maintenance.
  • Perform other duties as assigned.

SECURITY AND EEO STATEMENT
Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
EEO
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.

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