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Remote Cancer Bioinformatics Jobs in Reston, VA (NOW HIRING)

Remote Cancer Bioinformatics information

See Reston, VA salary details

$51K

$211.7K

$416.1K

How much do remote cancer bioinformatics jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote cancer bioinformatics in Reston, VA is $211,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $416,100.00 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.
What are popular job titles related to Remote Cancer Bioinformatics jobs in Reston, VA? For Remote Cancer Bioinformatics jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Cancer Bioinformatics jobs in Reston, VA look for? The top searched job categories for Remote Cancer Bioinformatics jobs in Reston, VA are:
Infographic showing various Remote Cancer Bioinformatics job openings in Reston, VA as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $211,679 per year, or $101.8 per hour.

Senior Software Developer (C++) in Bioinformatics and Big Data

Black Canyon Consulting

Bethesda, MD • On-site, Remote

$58.25 - $77/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

Overview

Black Canyon Consulting (BCC) is searching for a Sr. Software Developer in Bioinformatics and Big Data to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. 

NCBI, the National Center for Biotechnology Information, the nation's premier biomedical resource, is seeking a software developer to help deliver biological sequence annotation and data curation infrastructure for the nation's foremost sequence and biomedical literature repositories. Sites at NCBI, a part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), see four million daily users searching for gene sequence data, biomedical journal citations, and a wide array of other information that directly impacts biomedical research and public health. NCBI's annotation pipelines not only serve these diverse expert communities - they actually drive new life sciences discoveries, ranging from medical health (viruses and pandemics, genetic diseases, cancer) to public health (food safety monitoring, antimicrobial resistance, viral outbreaks), to basic research topics in computational biology, bioinformatics and microbial diversity, and many more.

On a technical level, NCBI's wide range of applications, platforms (e.g. node, Python, Django, C++), and applications and environments (petabyte-level big data, multiple cloud providers) serve more users than the US Postal Service and see more traffic than the IRS at tax time. We embrace FAIR principles (Findable, Accessible, Interoperable, Reusable) and are on the cutting edge of civic tech and cloud computing.

This role calls for more than an expert coder and architect - someone who can work equally effectively with subject-matter experts, user researchers, designers, product managers, scientists, security and DevOps engineers, and more. Work with teams of dedicated, skilled developers, researchers, and product professionals as you build robust, flexible solutions serving dozens of production applications, APIs and services. Join us!

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

 Duties & Responsibilities:
  • Responsible for the development, implementation, testing, and continued maintenance of NCBI bioinformatics software and information retrieval systems
  • Work with a diverse group of scientists, bioinformaticians and other developers across the center to implement efficient bioinformatics algorithms
  • Learn new technologies, keep up with internal systems, and share your knowledge with the team
Required qualifications:
  • 5+ years of experience handling large amounts of data or working in a distributed computing environment
  • Programming experience in a Linux environment
  • Proficiency in C++
  • Experience with MS SQL server and relational database design and optimization
  • Fluency in some scripting languages such as BASH, csh, Perl, or Python
Preferred qualifications:
  • 5+ years of working with genetic and biological data
  • Proficiency in Python and/or JavaScript and familiarity with their associated ecosystems
  • Experience with MongoDB or other NoSQL database technology
  • Experience with Docker or other containerization mechanisms
  • Experience with CI/CD pipelines, unit testing, integration and regression testing
  • Experience using GitHub
  • Experience with Cloud technologies a strong plus