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Cancer Bioinformatics Jobs (NOW HIRING)

Myriad myRisk ยฎ hereditary cancer panel (including riskScore ยฎ ), Myriad Prequelโ„ข NIPS screen ... This bioinformatics analyst position supports the myChoice CDx and related products. myChoice CDx ...

Myriad myRisk ยฎ hereditary cancer panel (including riskScore ยฎ ), Myriad Prequelโ„ข NIPS screen ... This bioinformatics analyst position supports the myChoice CDx and related products. myChoice CDx ...

... treatment for cancer. We give patients and clinicians the clarity needed to make confident ... Position Overview The Bioinformatics Scientist, with limited guidance from more experienced ...

... treatment for cancer. We give patients and clinicians the clarity needed to make confident ... Position Overview The Bioinformatics Scientist, with limited guidance from more experienced ...

A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer ... The position requires a bachelor's degree, with an MS preferred or a PhD in bioinformatics ...

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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 May 29, 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.

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.

How much does Pfizer pay bioinformatics?

Bioinformatics roles at Pfizer typically offer salaries ranging from $80,000 to $130,000 annually, depending on experience, education, and location. These positions often require strong skills in data analysis, programming, and familiarity with genomic tools. Compensation may also include benefits such as bonuses and stock options.
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 May 2026, with employment types broken down into 4% Locum Tenens, 36% As Needed, 31% Full Time, 4% Part Time, 23% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Senior Scientist, Bioinformatics

Coherus Oncology

Redwood City, CA โ€ข On-site

$140K - $175K/yr

Other

Posted 12 days ago


Job description

Title:ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย Senior Scientist, Bioinformatics
Reports to:ย  ย  ย  ย  ย  ย  ย Director, Bioinformatics
Location:ย  ย  ย  ย  ย  ย  ย  ย  Redwood City, CA
Classification: ย  ย Exempt
ย 

Overview:

Coherus Oncology is seeking a Senior Scientist, Bioinformatics to join the Translational Medicine team and support the analysis and interpretation of translational and clinical biomarker data from oncology clinical trials.

This is a hands-on bioinformatics role for an industry-experienced scientist who enjoys working close to the data, biology, and clinical context. The Senior Scientist will execute rigorous, reproducible analyses and collaborate closely with translational scientists and other cross-functional partners to generate biologically meaningful insights that support clinical decision-making.

Within a small, highly collaborative team, this role focuses on direct analytical contributions to active clinical programs and provides meaningful exposure to translational bioinformatics in a clinical-stage biotech environment.


Responsibilities:

  • Perform end-to-end analysis of translational and clinical biomarker data, including data preparation, quality control, statistical analysis, and biological interpretation.
  • Analyze high-dimensional clinical trial datasets (e.g., bulk/single cell/spacial RNA-seq, protein biomarker platforms such as MSD or Olink, and other translational assays).
  • Apply appropriate statistical methods with careful consideration of study design, analytical assumptions, and clinical relevance.
  • Execute reproducible, well-documented analytical workflows to ensure data quality, traceability, and analytical rigor.
  • Collaborate closely with translational scientists and cross-functional partners to interpret results in biological and clinical context.
  • Coordinate with data providers and vendors as needed to support timely data transfer, documentation, and organization for ongoing clinical studies.
  • Prepare clear figures, tables, and presentation materials to communicate analytical findings and support internal study discussions, scientific publications, regulatory documents and reports.
  • Work with Clinical, Biomarker, and Laboratory Operations teams, as well as external vendors, to support data transfer, organization, and documentation for ongoing trials.
  • Use version control and collaborative development practices to maintain analysis code and documentation.
  • Leverage AI-assisted tools to improve efficiency in coding, analysis, visualization, and documentation while applying sound scientific judgment.

Education & Expereience:

  • PhD with 1+ years of relevant industry experience, or Master's degree with 5+ years of relevant industry experience in Bioinformatics, Computational Biology, Genomics, Statistics, Cancer Biology, Immunology or a related fields.

Required Skills:

  • Strong proficiency in R/Python for data analysis, statistical modeling, and visualization.
  • Experience working in Linux/Unix computing environments.
  • Solid foundation in statistics and their application to biological and clinical datasets.
  • Demonstrated ability to independently execute analyses with attention to rigor, reproducibility, and detail.
  • Knowledge of immunology and/or cancer biology or related fields.

Preferred Skills:

  • Prior industry bioinformatics experience, particularly in translational or clinical-stage research in cancer immunotherapy and related fields.
  • Experience working with NGS and biomarker assay data in an industry or clinical research setting.
  • Familiarity with using AI-assisted computational and analytical tools to support efficient coding, data analysis, visualization, and scientific communication.
  • Interest in and ability to engage deeply with the biological interpretation of analytical results.

The Base Salary Range for this position is $140,000 to $175,000. Coherus considers various factors, including professional background and work experience, when determining base pay. These considerations mean actual compensation will vary.

Coherus provides equal employment opportunities to all employees and applicants for employment and prohibits unlawful discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also prohibit discrimination based on the perception that anyone has any of these characteristics or is associated with a person who has or is perceived as having any of these characteristics.