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$203.5K

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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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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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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.

Senior Scientist I, Cancer Genomics, Clinical Biomarker Development

Redwood City, CA • On-site

Revolution Medicines
See more jobs at Revolution Medicinesexternal

Full-time

Posted 9 days ago

Job description

Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Founded on rigorous scientific inquiry and a willingness to challenge long-held assumptions, Revolution Medicines is committed to changing the trajectory of disease for patients with RAS-addicted cancers worldwide.
Our people are united by a shared way of working: follow the science, challenge assumptions, act with urgency and hold ourselves to a high standard of rigor-all in service of patients.
The Opportunity:
In this role you will join the Cancer Genomics group in Clinical Biomarker Development, which sits within the Translational Medicine department to develop biomarkers, technology, and computational strategies for our RAS(ON) inhibitor programs. You will drive the application of advanced genomics analyses to maximize insight generation from clinical samples in our Phase I-III studies. This role offers the chance to work in a collaborative and innovative environment, including on cross-functional teams with other computational scientists, biomarker leads, biostatisticians, and preclinical scientists.
As a Cancer Genomics Senior Scientist I in Clinical Biomarker Development, you will:
  • Apply advanced analytics and genomics solutions to clinical biomarker data to inform research & development
  • Integrate multi-omics datasets to interrogate disease biology and prognosis, mechanisms of resistance, and predict drug response
  • Collaborate with cross-functional teams, managing interactions with key stakeholders to deliver robust biomarker analyses and recommend follow-up actions
  • Communicate results to expert and non-expert audiences, including internal cross-functional team members and external collaborators, through scientific publications and presentations

Required Skills, Experience and Education:
  • A Ph.D. in Cancer Genomics, Genetics, Computational Biology, Bioinformatics, or similar degree.
  • A minimum of 2 - 8 years post-PhD experience analyzing cancer genomics data (post-doc, biotech, pharma, diagnostics, or combination).
  • A strong foundation in cancer biology, preferably with an understanding of RAS/MAPK signaling pathways in pancreatic, lung, or colorectal cancer.
  • Proficiency programming in R and/or Python, and expert in clearly documenting work with a version control system (git).
  • Experienced in Linux and the cloud, including HPC clusters and command line interface, and developing genomics workflows for large scale NGS datasets.
  • Experienced analyzing ctDNA or other liquid biopsy data derived from blood samples.
  • Experienced in the interrogation of DNA sequence data derived from tumor tissue, such as gene-panel, whole-exome or whole-genome data and downstream analytics (clonality estimates, copy number variation, chromosomal instability, mutational signatures, etc).
  • Practiced in commonly used tools and methods for DNA data analysis (GATK, Bioconductor, etc) and in utilizing publicly available datasets (TCGA, cBioPortal) to interrogate cancer genomics data.
  • Strong understanding of statistics and the ability to generate robust predictive models with multidimensional data.
  • Strong interpersonal, verbal and written communication skills; proactive, self-motivated, and adaptable in a dynamic environment.
  • Demonstrated ability to translate complex data into clear biological insight, and to influence project direction through data-driven scientific inquiry.

Preferred Skills:
  • Experienced analyzing clinical endpoints (ORR, PFS, OS) and/or experienced with clinico-genomic RWE analytics.
  • Longitudinal ctDNA data analysis for predicting clinical endpoints (ORR, PFS, OS).
  • Deep knowledge of pancreatic, lung, or colorectal cancer, preferably including how progression, response and resistance may be mediated by biomarkers detected in tissue and/or blood biomarkers.

#LI-Hybrid #LI-EM1
The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.
Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.
Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
Base Pay Salary Range
$149,000-$186,000 USD
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
If you believe you've been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.

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