Bioinformatics Research Intern information
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$4.4K is the 25th percentile. Wages below this are outliers.
$4.2K - $4.7K
3% of jobs
The median wage is $7.4K / yr.
$7.3K - $7.8K
72% of jobs
How much do bioinformatics research intern jobs pay per month?
As of Sep 13, 2026, the average monthly pay for bioinformatics research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.
A Bioinformatics Research Intern assists in the analysis and interpretation of biological data using computational tools and methods. Their tasks often include processing large datasets, developing and applying algorithms, and supporting ongoing research projects in genomics, proteomics, or related fields. Interns collaborate with researchers and scientists, contribute to data visualization, and may help in preparing reports or presentations. This role provides hands-on experience at the intersection of biology and computer science, helping interns build valuable skills for a future career in bioinformatics.
As a Bioinformatics Research Intern, you will typically work on projects involving the analysis of biological data, such as genomics, transcriptomics, or proteomics datasets. You may collaborate closely with wet-lab scientists, senior bioinformaticians, and software engineers to develop pipelines, interpret results, and present findings. Interns often have the opportunity to contribute to research publications or internal reports, gaining exposure to both computational and experimental aspects of the field. The work environment tends to be highly interdisciplinary, fostering learning and skill development in both biology and data science.
To thrive as a Bioinformatics Research Intern, you need a solid background in biology, statistics, and computer science, often supported by coursework or a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Galaxy), and knowledge of databases such as GenBank are typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex data effectively are crucial soft skills in this role. These capabilities enable accurate data analysis, meaningful scientific discoveries, and effective collaboration within research teams.
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