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

As of May 30, 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 are the key skills and qualifications needed to thrive as a Full Time Cancer Bioinformatician, and why are they important?

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 a full time cancer bioinformatics job?

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 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.

More about Full Time Cancer Bioinformatics jobs
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:
What states have the most Full Time Cancer Bioinformatics jobs? States with the most job openings for Full Time Cancer Bioinformatics jobs include:
What job categories do people searching Full Time Cancer Bioinformatics jobs look for? The top searched job categories for Full Time Cancer Bioinformatics jobs are:
Full Time Cancer Bioinformatics jobs near you
Infographic showing various Full Time Cancer Bioinformatics job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, 17% Temporary, and 50% Contract. Highlights an 5% Physical, 94% Hybrid, and 1% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Postdoctoral Researcher - Computational biology/Cancer bioinformatics (Full Time)

Postdoctoral Researcher - Computational biology/Cancer bioinformatics (Full Time)

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 16 days ago

University Of Arizona rating

7.0

Company rating: 7.0 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

365th of 529 rated colleges and universities

Job description

Postdoctoral Researcher - Computational biology/Cancer bioinformatics (Full Time)
Posting Number
req26025
Department
Cancer Center Division
Department Website Link
https://cancercenter.arizona.edu/
Location
Tucson Campus
Address
1501 N. Campbell Ave, Tucson, AZ 85719 USA
Position Highlights
The Theodorescu Lab within the University of Arizona Cancer Center (UACC) and Padi Labs within the Department of Molecular and Cellular Biology are looking to hire a joint postdoctoral researcher with a strong background in computational biology and/or cancer bioinformatics. This project will be focused on integrating rich, multimodal 'omics data from cell lines and animal models, with the goal of identifying mechanisms leading to transformation and cancer. To identify such cancer-driving effects, we combine genomics, proteomics, and spatial transcriptomics data generated in the Theodorescu Lab with techniques for network inference, epigenetic rewiring, and dynamic modeling developed in the Padi Lab. Examples of the type of work that will be undertaken can be seen by our papers by Chen (Nature. 2025 Jun;642(8069):1041-1050), Abdel-Hafiz (Nature. 2023 Jul;619(7970):624-631), Gouin (Nature Commun. 2021; 12;12(1)), Ben Guebila (Genome Biology. 2023; 24(1):45) and Yang (Journal of Clinical Investigation. 2025; 135(7)). Our final goal is to identify novel biomarkers and interventions for cancer that will improve patient outcomes.
This individual would join two vibrant groups that closely collaborate to bridge the gap between innovative cancer research and state-of-the-art computational modeling. The successful candidate will be a driven, creative, team-oriented individual with an aptitude for quantitative/informatic methods and a passion for helping to discover fundamental cancer biology mechanisms that have potential clinical impact and thus can be moved eventually towards a clinical setting. We employ a wide variety of computational and experimental approaches and seek individuals with a strong understanding of both bioinformatics and molecular biology. Experience gained in our laboratory will help the candidate to become competitive for permanent positions in either academia or industry. We welcome applications from both recent PhD or MD/PhD recipients and individuals seeking additional postdoctoral training. For more information, please visit: https://cancercenter.arizona.edu/person/dan-theodorescu-md-phd and https://www.padilab.com.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocation services, please click here.
Duties & Responsibilities
  • Design and perform quantitative data analysis. Keep detailed record of codebase with documentation and share the results with the Principal Investigators.
  • Develop, adapt, and implement new research techniques and algorithms.
  • Analyze, interpret, present, and interpret the data clearly and accurately.
  • Perform routine and complex data analysis procedures throughout training period.
  • Assist in preparation of grant proposals with the PIs but is not responsible for generating grant funds.
  • Participate in publications and presentations as author or co-author.
  • Meet with both PIs on a regular basis to discuss research progress and plans.
  • May be asked to write small grant proposals or NRSA/T32 applications.
  • Spends about 75% of time on computational analysis and 25% of time on writing articles/analyzing data/online research.

Knowledge,Skills, and Abilities:
  • Ability to work semi-independently on research projects within an area of specialization.
  • Thorough technical and theoretical knowledge of research projects and the objectives to be accomplished during this post-doctoral appointment.
  • Demonstrated aptitude to perform quantitative analyses, generate reproducible code, and interpret results in a biological context.
  • Strong understanding of both bioinformatics andmolecular biology.

Minimum Qualifications
  • Doctorate(PhD or MD/PhD) in computational biology, physics, math, computer science, orrelated field.

Preferred Qualifications
  • Outstanding publication record from prior graduate and/or postgraduate training and/or existing extramural funding.

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.0
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH salary guidelines, Depends on Experience
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
Contact Information for Candidates
Dr Megha Padi,mpadi@arizona.edu
Open Date
5/15/2026
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.
Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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