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Cancer Bioinformatics Jobs (NOW HIRING)

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Cancer Bioinformatics information

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$49K

$203.5K

$400K

How much do cancer bioinformatics jobs pay per year?

As of Jul 11, 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.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics, including in cancer bioinformatics roles, by automating data analysis and pattern recognition. While AI can automate certain tasks, bioinformatics professionals are needed to interpret results, develop algorithms, and integrate biological context, making AI a complement rather than a replacement for human expertise.

How much does a cancer biologist make?

Cancer biologists typically earn a median annual salary of around $70,000 to $100,000, depending on experience, education, and location. Those with advanced degrees and specialized skills in bioinformatics or molecular techniques may earn higher salaries, especially in research or industry settings.

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 personalized treatment strategies and research advancements.

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.

What is the highest paying job in bioinformatics?

In bioinformatics, senior roles such as Bioinformatics Directors, Principal Scientists, or Lead Data Scientists tend to have the highest salaries, often exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and expertise in programming, data analysis, and biological data management.
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:
Infographic showing various Cancer Bioinformatics job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 46% As Needed, 42% Full Time, 5% Part Time, 1% Contract, and 2% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Bioinformatics Programmer

Bioinformatics Programmer

University of California San Francisco

San Francisco, CA โ€ข On-site

Full-time

Re-posted 8 days ago


Job description


Department Description:
The Department of Neurology is currently the largest recipient of NIH awards among departments of neurology in US medical schools and has many notable senior faculty including nine members of the Institute of Medicine, six members of the American Academy of Arts and Sciences, three members of the National Academy of Sciences, and a Nobel laureate.
Job Summary:
Uses professional bioinformatics concepts. Applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate scope where analysis of data requires a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives.
A bright, hardworking individual with very strong communication and organizational skills is sought by the Department of Neurology, University of California at San Francisco, to serve as a staff bioinformatician providing support for ongoing research projects related to the analysis of phage immunoprecipitation, metagenomic, transcriptomic (bulk and single cell), and immune repertoire (bulk and single cell) sequencing data. We are seeking an individual with experience in data science, proteomics and open-source software tools and ability to write custom scripts for high throughput sequence mapping and alignment; download and upload of data and integration of data pipelines with public repositories; assisting in management of large genomics datasets as well as writing custom computational solutions when available tools are inadequate and/or if these are necessary to resolve bugs in existing software. Plus if individual possess knowledge of PhIP-Seq assay and antigen discovery in autoimmune and infectious diseases generally.
Responsibilities
of time
Essential Function (Yes/No)
Key Responsibilities
(To be completed by Supervisor)
50
yes
Utilizes complex bioinformatics concepts to analyze, interpret or create complex biological or research data.
Designs, develops, debugs and utilizes computer programs.
15
yesConducts advanced bioinformatics programming and testing of new algorithms that interact with other related databases.
10
yesUtilizes existing algorithms, techniques, and statistical methodologies to conduct moderately complex data analysis.
10
yesAssists with development and implementation of changes to operational systems and databases.
5
yes
Performs complex data modeling, performance and integration testing, and builds user interfaces for a variety of internal and external constituents.
5
yesRecommends changes in development and maintenance for analysis algorithms, tools and infrastructure.
5
yesMaintains web pages.
0
100%
(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)
Qualifications
Required Qualifications:
  • Bachelor's degree in biological science, computational / programming, or related area and minimum three years of experience or equivalent experience / training.
  • Working knowledge of bioinformatics methods and data structures.
  • Working knowledge of applications programming and web development.
  • Working knowledge of databases.
  • Working project management skills.
  • Working knowledge of modern biology and applicable field of research
  • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.
  • Ability to communicate technical information in a clear and concise manner.

Preferred Qualifications:
  • Master's degree in bioinformatics or computer science
  • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills.
  • Working knowledge of application and data security concepts

About Us
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Salary Information
The final salary and offer components are subject to additional approvals based on UC policy.
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html