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Cancer Bioinformatics Jobs (NOW HIRING)

Bioinformatics Scientist To be considered for this position, please upload a document as your Cover ... cancer research, etc.) * Provide examples of basic machine learning/AI concepts and/or how you've ...

D. or a Master's with 3+ years of industry experience in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science * In-depth knowledge of ...

New

Bioinformatics Scientist To be considered for this position, please upload a document as your Cover ... cancer research, etc.) * Provide examples of basic machine learning/AI concepts and/or how you've ...

Bioinformatics Scientist To be considered for this position, please upload a document as your Cover ... cancer research, etc.) * Provide examples of basic machine learning/AI concepts and/or how you've ...

Lead the analysis of large-scale cancer and germline multi-omics datasets to extract meaningful insights. Utilize and augment traditional bioinformatics tools with AI-driven techniques to interpret ...

Lead the analysis of large-scale cancer and germline multi-omics datasets to extract meaningful insights. Utilize and augment traditional bioinformatics tools with AI-driven techniques to interpret ...

Bioinformatics Engineer

Windber, PA · On-site

$75 - $95/hr

... cancer data sets. Responsibilities * Evaluate and implement new bioinformatic systems. * Evaluate ... and test both internal and external systems, with emphasis on data visualization and interpretation ...

New

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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 Aug 21, 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 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.
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 August 2026, with employment types broken down into 3% As Needed, 84% Full Time, 11% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Bioinformatics Engineer

The Select Group

South San Francisco, CA • On-site

Other

Re-posted 11 days ago


Job description

BIOINFORMATICS ENGINEER | SAN FRANCISCO, CA
The Select Group is seeking a Bioinformatics Engineer to join one of our top biotechnology partners in the Fortune 100. This team works with next gen sequencing and diagnostic instruments that help detect lung cancer and reproductive diseases. This person will be working on the bioinformatics pipeline and will be testing existing and new features on the next gen sequencing applications/platforms. Note, working hours will be 9:00am-5:00pm PST.
BIOINFORMATICS ENGINEER REQUIREMENTS
  • Bachelors Degree and 5+ years of relevant work experience OR Masters Degree and 3+ years of relevant experience OR PhD and 2+ years of relevant experience
    • Degree should be in Bioinformatics, Chemistry, Biology, Biochemistry, Computational Science, or a similar scientific field
  • 3 years of coding experience and proficiency with at least 1 language (preference on Python)
  • Familiarity and experience with Linux command lines
  • Prior experience with next gen sequencing
  • Must have documentation experience (likely will not be listed on resume)
  • Soft skills: detail oriented, team player, flexible, able to work in fast paced environments
Bonus skills:
  • Oncology experience (huge plus)
  • FDA Compliance 21 CFR documentation experience
  • Test development experience with Java
  • Experience with Selenium
  • Familiarity with mapping algorithm development

BIOINFORMATICS ENGINEER RESPONSIBILITIES
  • Analyze the requirements for data analysis pipelines and visualizations to support various applications (Oncology, Reproseq, Immuno-oncology, CarrierSeq etc) and translate them to software specifications.
  • Help software development team to understand and design the complex Informatics and Data Visualization features. Work closely with developers to implement software features
  • Write and execute test protocols to validate the features and data analysis pipelines
  • Troubleshooting the data analysis pipeline and software issues.
  • Check the correctness of output Compare output data with other equivalent systems
  • Perform system performance profiling
  • Perform test automation with Python and Java
  • Prepare FDA submission documentation when needed
  • Collaborate with cross functional team

TSG 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, or status as a protected veteran.
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