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Remote Cancer Biologist Jobs (NOW HIRING)

QIAGEN

Senior Curation Scientist, QDI

$90K - $110K/yr

D. in cancer biology, molecular biology, genetics, or related field * 3-5 years post-graduate ... Remote/Home Based The estimated base salary range for this position is $90,000 - $110,000.

Qiagen

Senior Curation Scientist, QDI

$90K - $110K/yr

D. in cancer biology, molecular biology, genetics, or related field * 3-5 years post-graduate ... Remote/Home Based The estimated base salary range for this position is $90,000 - $110,000.

Aequor

This opportunity can be remote. Duties and responsibilities: • Support Oncology drug development ... Client cancer therapeutics discovery and development. • Apply and develop innovative analysis ...

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

... Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science * In-depth ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

... Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science * In-depth ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Moffitt

ABSTRACTOR ASSO/I/II/III

Chicago, IL · On-site +1

... the Florida Cancer Data System (FCDS) Data Acquisition Manual. **REMOTE WORK allowed in the ... Associate'sdegree in Biology, Biomedical Sciences, Public Health, Health Sciences, Epidemiology ...

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Remote Cancer Biologist information

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$37K

$89.4K

$138K

How much do remote cancer biologist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote cancer biologist in the United States is $89,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $121,000.00 per year, depending on experience, location, and employer.

What is a remote cancer biologist?

A remote cancer biologist is a scientist who studies the biology of cancer, such as tumor growth and genetic mutations, while working outside of a traditional laboratory or office environment, often from home. They may analyze data, write research papers, and collaborate with other scientists using digital tools and communication platforms. While some experimental work may require on-site presence, many tasks like data analysis, literature review, and project planning can be done remotely. This role allows for flexibility and access to global collaborations.

How does a remote cancer biologist effectively collaborate with laboratory teams and manage experiments from a distance?

Remote cancer biologists typically collaborate closely with onsite laboratory teams through regular virtual meetings, project management tools, and shared data platforms. While they may not perform hands-on wet lab work, they are often responsible for designing experiments, analyzing results, interpreting data, and providing scientific guidance. Effective communication and clear documentation are essential to ensure experimental protocols are followed accurately and research goals are met. This remote setup allows for flexibility but requires strong organizational skills and proactive engagement with the lab team.

What are the key skills and qualifications needed to thrive as a remote cancer biologist, and why are they important?

To thrive as a Remote Cancer Biologist, you need a strong background in molecular biology, oncology research, and data analysis, typically supported by a PhD in a related field. Experience with bioinformatics tools, lab management software, and statistical analysis platforms like R or Python is often required. Excellent written communication, self-motivation, and the ability to collaborate virtually are vital soft skills for remote work. These skills ensure rigorous scientific research, effective teamwork from a distance, and successful contributions to cancer biology advancements.
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Remote Cancer Biologist jobs near you
Infographic showing various Remote Cancer Biologist job openings in the United States as of August 2026, with employment types broken down into 4% As Needed, 80% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $89,403 per year, or $43 per hour.

Computational Biologist

Medasource

South San Francisco, CA • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

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Professional Life Sciences Recruiter at Medasource

Computational Biologist

Location: Remote, must be able to work PST

Duration: contract through end of 2025 with probability of extensions

ASAP Start

The Oncology team in the Computational Biology and Translation Pillar of gRED Computational Sciences (gCS) is seeking a talented and highly motivated Computational Scientist (Contract) with a strong analytical background in computational biology and cancer, particularly focusing on data from Breast Cancer patients. The successful candidate will have a proven track record in multi-omics analysis and the application of both standard and advanced computational methods, such as statistical modeling, machine learning, and bioinformatics pipelines, for hypothesis testing and novel insight generation on clinical data.

Responsibilities

  • Collaborate with scientists in Computational Oncology to analyze large-scale bulk RNA and WES clinical datasets to address scientific hypotheses and deliver novel insights.
  • Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology and mechanisms of action to propel our pipeline and clinical research goals.
  • Document code, analysis processes, and findings, including standardization of analytical workflows.

Requirements

  • Extensive experience (6+ years) in large-scale bulk data analysis (RNA, WES), including gold-standard methods and novel, advanced analytical techniques such as:
  • Multivariate statistical analyses
  • Predictive/Prognostic analyses
  • Expertise in any of the following areas: cancer biology, clinical omics data, real-world data, breast cancer.
  • PhD in Computational Biology, Bioinformatics, or a related field.
  • Proficiency in R, Python, and shell scripting.
  • Experience working with Git and high-performance computing.
  • High self-motivation and commitment to delivering high-quality results.
  • Ability to produce high-quality analysis results with minimal supervision, including meeting key deadlines and making sensible independent decisions.
  • Excellent communication skills and experience working as part of a team.
  • Curiosity and desire to learn more about computational biology and Breast Cancer.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst, Research, and Other

Industries

Pharmaceutical Manufacturing and Biotechnology Research

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