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Remote Bioinformatics Analyst Jobs (NOW HIRING)

Labcorp is seeking a US based remote Bioinformatics Scientist I to join our team! Job ... Advanced Data Analysis : Perform sophisticated analysis of genomic datasets using state-of-the-art ...

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Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Strongproficiencyin Python and/or R for data analysis, scripting, and statistical modeling.

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Remote Bioinformatics Analyst information

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How much do remote bioinformatics analyst jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote bioinformatics analyst in the United States is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $49.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Analyst, and why are they important?

To thrive as a Remote Bioinformatics Analyst, you need a solid background in biology, statistics, and computer science, typically supported by a relevant degree or advanced training in bioinformatics or computational biology. Proficiency with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with databases and version control systems are essential. Strong analytical thinking, self-motivation, and clear virtual communication skills help you collaborate effectively with distributed teams and interpret complex data. These skills and qualities are crucial for delivering accurate scientific insights and supporting data-driven research remotely.

How do Remote Bioinformatics Analysts typically collaborate with research teams across different time zones?

Remote Bioinformatics Analysts often work with interdisciplinary teams, including biologists, data scientists, and clinicians located in various regions. Effective collaboration is achieved through regular virtual meetings, shared project management tools, and clear documentation of workflows and analyses. Flexibility in scheduling and proactive communication are key to ensuring that project milestones are met and that all team members are aligned on objectives and outcomes. Many organizations also encourage the use of collaborative coding platforms and cloud-based data repositories to streamline teamwork.

What is a Remote Bioinformatics Analyst?

A Remote Bioinformatics Analyst is a professional who uses computer science, statistics, and biology to analyze and interpret complex biological data, such as genetic sequences, from a remote location. They typically work with large datasets to assist in scientific research, drug development, or medical diagnostics. By working remotely, they leverage digital tools and secure data platforms to collaborate with teams and contribute to projects without being physically present in a traditional lab or office. Their work supports advancements in genomics, personalized medicine, and biotechnology.
More about Remote Bioinformatics Analyst jobs
What cities are hiring for Remote Bioinformatics Analyst jobs? Cities with the most Remote Bioinformatics Analyst job openings:
What are the most commonly searched types of Bioinformatics Analyst jobs? The most popular types of Bioinformatics Analyst jobs are:
What states have the most Remote Bioinformatics Analyst jobs? States with the most job openings for Remote Bioinformatics Analyst jobs include:
Infographic showing various Remote Bioinformatics Analyst job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $95,308 per year, or $45.8 per hour.

Remote Bioinformatics Analyst III: RNAseq & OMICS Pipelines

Katalyst CRO

North Chicago, IL โ€ข Remote

Full-time

Posted 21 days ago


Job description

A biotechnology firm is seeking a Bioinformatics Analyst III in North Chicago to design and maintain advanced RNAseq and OMICS data-analysis pipelines. The ideal candidate will have a degree in computational biology and expertise in programming, especially in R and Python, as well as experience with cloud systems. This role emphasizes teamwork and communication within a dedicated international bioinformatics team.

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