ZipRecruiter

Log In

2

Remote Cancer Bioinformatics Jobs (NOW HIRING)

LuckyJay Consulting

As an integral member of the Data Science & Bioinformatics Team, you will tackle some of the most interesting biological and technical questions related to functional precision cancer therapeutics.

next page

Showing results 1-20

All JobsRemote Cancer Bioinformatics Jobs

Remote Cancer Bioinformatics information

See salary details

$49K

$203.5K

$400K

How much do remote cancer bioinformatics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Cancer Bioinformatics Specialist, and why are they important?

To thrive as a Remote Cancer Bioinformatics Specialist, you need a strong background in bioinformatics, molecular biology, and statistical analysis, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with bioinformatics tools (such as R, Python, Bioconductor), databases (like TCGA), and experience with cloud computing or high-performance computing environments is often required. Strong problem-solving abilities, attention to detail, and effective remote communication set top professionals apart in this field. These skills ensure accurate data analysis, clear collaboration with research teams, and meaningful contributions to cancer research and patient outcomes.

What are some common challenges faced by remote cancer bioinformatics professionals and how can they be addressed?

Remote cancer bioinformatics professionals often face challenges such as effective collaboration with multidisciplinary teams, managing large and sensitive datasets securely, and staying updated with rapidly evolving analytical tools. To address these, it's important to leverage secure cloud-based platforms for data sharing, participate in regular virtual meetings, and engage in continuous learning through online courses and webinars. Building strong communication channels and maintaining clear documentation also help ensure smooth teamwork and project progress.

What is the difference between Remote Cancer Bioinformatics vs Remote Genomic Data Analyst?

AspectRemote Cancer BioinformaticsRemote Genomic Data Analyst
Required CredentialsBachelor's/Master's in Bioinformatics, Biology, or related fields; experience with cancer datasetsBachelor's/Master's in Genomics, Data Science, or related fields; experience with genomic data analysis
Work EnvironmentRemote, research labs, biotech companiesRemote, healthcare organizations, research institutions
Industry UsagePrimarily in cancer research, biotech, pharmaHealthcare, research, biotech

Remote Cancer Bioinformatics focuses on analyzing cancer-specific datasets to understand tumor biology, while Remote Genomic Data Analysts handle broader genomic data across various fields. Both roles require similar educational backgrounds and often work remotely for research or biotech companies, but their specific datasets and applications differ.

What is a Remote Cancer Bioinformatics specialist?

A Remote Cancer Bioinformatics specialist is a professional who uses computational tools and data analysis techniques to study cancer-related biological data, such as genetic sequences or patient records, while working remotely. They collaborate with researchers, clinicians, and other scientists to interpret large datasets and uncover insights that can help in cancer diagnosis, treatment, and research. This role typically involves programming, statistical analysis, and the use of specialized bioinformatics software to answer complex biological questions about cancer.
More about Remote Cancer Bioinformatics jobs
What cities are hiring for Remote Cancer Bioinformatics jobs? Cities with the most Remote 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 Remote Cancer Bioinformatics jobs? States with the most job openings for Remote Cancer Bioinformatics jobs include:
What job categories do people searching Remote Cancer Bioinformatics jobs look for? The top searched job categories for Remote Cancer Bioinformatics jobs are:
Remote Cancer Bioinformatics jobs near you
Infographic showing various Remote Cancer Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Scientist- Bioinformatics R&D -REMOTE

Scientist- Bioinformatics R&D -REMOTE

SEMA4

Stamford, CT • On-site, Remote

Full-time

Posted 4 days ago

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
We are looking for a talented Scientist- Bioinformatics R&D tojoin our team. The Bioinformatics Scientist leads translational bioinformatics and product development for NGS pipelines as part of the R&D Bioinformatics department. This scientist is an integral part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data from reproductive health, cancer, and other diseases. As part of a development team of engineers and scientists, this scientist will translate research prototypes into production-quality, scalable pipeline products used by a variety of clinical diagnostics and research projects across many teams at Sema4. This scientist will serve as an authority in these products to other users and teams and optimize them to serve Sema4 data science needs.
RESPONSIBILITIES
  • Design, develop, and test NGS pipelines for clinical tests and research projects in oncology, reproductive health, and other indications.
  • Lead or support bioinformatics projects to translate NGS results, as well as public and internal genomic, phenotype, and clinical/EMR datasets, to features and optimizations of clinical utility.
  • Analyze and integrate heterogeneous NGS data (somatic and germline SNVs, indel variants, copy-number alterations, structural variants, gene fusions, transcript isoforms, RNA abundance, RNA editing and modification) from diverse next-generation sequencing assays (Illumina, Ion Torrent, Pacific Biosciences; targeted panels, whole-exome sequencing, whole-genome sequencing, RNA-Seq; bulk and single-cell) and microarrays.
  • Work with wet labs and clinical teams to plan and design experiments to generate such data, and analyze this data.
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs.

QUALIFICATIONS
  • PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills supplemented with biology background
  • Hands-on experience working with NGS tools with high proficiency, especially for sequence analysis and expression analysis
  • Strong coding proficiency in R, Python, and SQL programming languages in a Linux environment.
  • Well-versed in the art of effective communication on interdisciplinary teams (scientists, programmers, and clinicians), especially graphical communication about high-complexity datasets to scientific audiences from different backgrounds.
  • High self-motivation, great ability to work in both multiple-task and independent fashions.
  • Good understanding of molecular, cell, and developmental biology, especially where relevant to cancer genomics, oncology, or endocrine neoplasms, and especially molecular cloning and NGS library preparation methodologies.
  • Developing code using distributed version control tools (especially Git) and software issue tracking/management systems (especially Jira).
  • Using or developing genome browsers or other tools for visualization of genomic datasets.

Apply