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Remote Bioinformatics Jobs in Colorado (NOW HIRING)

Remote Bioinformatics information

See Colorado salary details

$62.6K

$99.3K

$157.2K

How much do remote bioinformatics jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote bioinformatics in Colorado is $99,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $136,200.00 per year, depending on experience, location, and employer.

What are some typical challenges faced when working remotely in a bioinformatics role?

Working remotely in bioinformatics often means managing large datasets and complex analyses without immediate in-person support, which requires strong troubleshooting abilities and self-sufficiency. Collaborating with cross-disciplinary teams—such as biologists, clinicians, and data scientists—demands proactive communication and regular virtual meetings to ensure project alignment. Time zone differences and asynchronous workflows can also present coordination challenges, but they offer flexibility in managing your workload. Keeping up with the latest bioinformatics tools and research is essential and often involves continuous self-directed learning. With these factors in mind, remote bioinformatics roles can be both rewarding and flexible for those skilled at independent work and digital collaboration.

What is a Remote Bioinformatics job?

A Remote Bioinformatics job involves analyzing biological data using computational tools and techniques while working from a location outside of a traditional office, such as from home. Professionals in this field work with large datasets, develop algorithms, and create software to interpret genetic, genomic, or proteomic information. These roles are commonly found in research institutions, biotech companies, and healthcare organizations. Strong programming, data analysis, and biological domain knowledge are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Remote Bioinformatics position, and why are they important?

To thrive as a Remote Bioinformatics professional, you should have a strong background in computational biology, statistics, and programming (often with languages such as Python or R), supported by an advanced degree in a relevant field. Familiarity with bioinformatics tools (e.g., BLAST, GATK, Bioconductor), version control systems like Git, and experience with cloud-based computing platforms is highly valued. Excellent problem-solving abilities, clear written communication, and independent time management skills help you excel in remote and collaborative environments. These competencies are crucial for delivering accurate and timely insights from complex biological datasets while effectively working with geographically dispersed teams.

What are the most commonly searched types of Bioinformatics jobs in Colorado? The most popular types of Bioinformatics jobs in Colorado are:
What cities in Colorado are hiring for Remote Bioinformatics jobs? Cities in Colorado with the most Remote Bioinformatics job openings:

Interdisciplinary Biologist (Computational) / Mathematical Statistician

USDA APHIS | APHIS Careers

Fort Collins, CO • On-site, Remote

$99K/yr

Other

Posted 6 days ago


Job description

In this position, you will be protecting agriculture, property, natural resources (including rare or special species), and reducing conflicts that jeopardize human health and safety. The overall goal of the position is to develop statistical decision-support tools for the feral swine and wildlife disease management of Wildlife Services.Qualifications:Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement, including specialized experience and/or education, as defined below.
BASIC REQUIREMENT for 0401 Series: Degree: biological sciences, agriculture, natural resource management, chemistry, or related disciplines appropriate to the position. OR Combination of education and experience: Courses equivalent to a major, as shown above, plus appropriate experience or additional education.
BASIC REQUIREMENT for 1529 Series: Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. OR Combination of education and experience: at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown above, plus appropriate experience or additional education.
FOR THE GS-12 LEVEL: Applicants must have one year of specialized experience (equivalent to the GS-11 grade level) that demonstrates:
- Communicates technical information both orally and in writing to stakeholders for collaborative development of research or software development projects.
- Develops data pipelines for extracting environmental data (e.g., GIS rasters, satellite imagery/remote sensing, landcover, weather/meteorological data) with automated post-processing for inputs into downstream modeling or visualizations.
- Builds custom statistical (prefer hierarchical statistical models using Bayesian techniques) models or computational biology models, or bioinformatic and phylogenetic workflows using computer programming.
- Develops machine learning or artificial intelligence models for image processing or predicting ecological or epidemiological processes.
- Uses programming languages in at least two data science areas such as: statistics (e.g., C++, python, or R), software or web application development (e.g., JavaScript or HTML), database management (e.g., SQL), managing HPC workflows (e.g., SLURM) or cloud platforms (e.g., AWS, Azure, or GCP).
Note: There is no education substitution for this grade level.
TRANSCRIPTS are required if:
  • This position requires specific coursework or a degree in a specific field to be basically qualified.
  • You are qualifying for this position based on a combination of experience and education.
  • This education must have been successfully completed and obtained from an accredited school, college, or university.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Please see above for education qualification requirement information.Employment Type: OTHER